What you will do

• Train and QA our Artificial Intelligence network by labelling claims and images
• Engage in regular discussions to develop an understanding of car parts and motor damage
• Work closely with the ML Research team to improve AI performance globally
• Work closely with other members of the Research Operations team to build guidelines and improve labelling quality
• Provide b2b email incident support for our customers, promptly responding to any emails received within working hours and facilitating communication between our engineering teams and end-users when system issues arise
• Get involved in multiple projects at the same time, learn standards from both motor side of the business

What you need to be successful

• Self-motivated with exceptional attention to detail
• Results-oriented & delivery-focused personality
• Passionate about learning new skills
• Adaptable, excited by the opportunity to work in a fast-paced and evolving environment
• Native level in English and French

What’s in it for you

Generous financial reward for your effort

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

#LI-TE1

• Create strategic relationships with key customer stakeholders (e.g. Chief Claims Officer, Line-of-Business Leaders, Digital Innovation Leaders). Expand existing relationships far and wide within the customer organization and their partner ecosystems to uncover new opportunities and deliver strategic value beyond the current scope.
• Be a thought leader for your customer by synthesizing insights from Tractable SMEs, AI researchers, your own industry knowledge and customer business objectives. Be a change agent and advocate for best practices to help customers transform to and adopt AI-based approaches.
• Align Tractable strategic direction and product roadmap with customer priorities to deliver maximum value and consumption of our AI platform. Drive adoption by promoting awareness, engagement and advocacy for the Tractable platform at all levels of the customer organization.
• Build a joint success plan aligned with the customer's business outcomes with specific financial and operational metrics. Monitor customer outcomes and platform consumption. Anticipates, identifies and mitigates customer health risks with support from internal teams and customer executive stakeholders to ensure mutual success.
• Quantify the business value realized and take proactive actions to drive process changes and end user adoption to deliver maximum value. Analyze customer AI performance and partner internally with product and engineering teams to identify improvement opportunities.
• Lead contract renewals. Scope up-sell and cross-sell opportunities, develop a close plan and partner with Business Development and Solutions Consulting in the pursuit to support and meet account and regional growth plans.
• Be an expert on our product. Define an effective training program to onboard new users. Proactively solicits product feedback from customers and identifies opportunities to co-design new product offerings and feature enhancements.
• Define work for junior members of the team in support of your customer portfolio and the success plans. Provide mentoring and coaching to support their personal and professional growth.
• Lead internal cross-functional initiatives to improve customer touchpoints (e.g., customer support programs, implementation approach). Contribute to Customer Success strategy and help scale the global team by defining best practices and active knowledge sharing.

• 3+ years of experience in customer success, solution delivery or customer-facing consulting at a top consultancy or a high-growth B2B SaaS
• Hands-on experience leading digital transformation initiatives at large, complex organizations
• Strong analytical skills with value qualification experience
• Strong ability to develop and deepen client relationships across a wide range of stakeholders at Fortune 500 enterprises
• Experience working in insurance, financial services, or other complex verticals would be beneficial
• Fluent in French (written and spoken)

What’s in it for you

Generous financial reward for your effort

• Twice a year compensation reviews
• Generous equity package
• 5% employer match on pension

Time off and flexible working

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Additional leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

Support for your health and wellbeing

• Highest tier of private health coverage through Bupa
• Access to a virtual GP through Babylon
• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

Additional perks

• L&D budget to use on Learnerbly (our learning platform)
• Cycle to Work scheme

• Create strategic relationships with key customer stakeholders (e.g. Chief Claims Officer, Line-of-Business Leaders, Digital Innovation Leaders). Expand existing relationships far and wide within the customer organization and their partner ecosystems to uncover new opportunities and deliver strategic value beyond the current scope.
• Be a thought leader for your customer by synthesizing insights from Tractable SMEs, AI researchers, your own industry knowledge and customer business objectives. Be a change agent and advocate for best practices to help customers transform to and adopt AI-based approaches.
• Align Tractable strategic direction and product roadmap with customer priorities to deliver maximum value and consumption of our AI platform. Drive adoption by promoting awareness, engagement and advocacy for the Tractable platform at all levels of the customer organization.
• Build a joint success plan aligned with the customer's business outcomes with specific financial and operational metrics. Monitor customer outcomes and platform consumption. Anticipates, identifies and mitigates customer health risks with support from internal teams and customer executive stakeholders to ensure mutual success.
• Quantify the business value realized and take proactive actions to drive process changes and end user adoption to deliver maximum value. Analyze customer AI performance and partner internally with product and engineering teams to identify improvement opportunities.
• Lead contract renewals. Scope up-sell and cross-sell opportunities, develop a close plan and partner with Business Development and Solutions Consulting in the pursuit to support and meet account and regional growth plans.
• Be an expert on our product. Define an effective training program to onboard new users. Proactively solicits product feedback from customers and identifies opportunities to co-design new product offerings and feature enhancements.
• Define work for junior members of the team in support of your customer portfolio and the success plans. Provide mentoring and coaching to support their personal and professional growth.
• Lead internal cross-functional initiatives to improve customer touchpoints (e.g., customer support programs, implementation approach). Contribute to Customer Success strategy and help scale the global team by defining best practices and active knowledge sharing.

• 3+ years of experience in customer success, solution delivery or customer-facing consulting at a top consultancy or a high-growth B2B SaaS
• Hands-on experience leading digital transformation initiatives at large, complex organizations
• Strong analytical skills with value qualification experience
• Strong ability to develop and deepen client relationships across a wide range of stakeholders at Fortune 500 enterprises
• Experience working in insurance, financial services, or other complex verticals would be beneficial
• Fluent in French (written and spoken)

What’s in it for you

Generous financial reward for your effort

• Twice a year compensation reviews
• Generous equity package
• 5% employer match on pension

Time off and flexible working

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Additional leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

Support for your health and wellbeing

• Highest tier of private health coverage through Bupa
• Access to a virtual GP through Babylon
• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

Additional perks

• L&D budget to use on Learnerbly (our learning platform)
• Cycle to Work scheme

What you will do

As the Team Lead for the Professional Services (PS) EMEA Team at Tractable, you are pivotal in driving the successful delivery of our client projects across EMEA. Overseeing the team, you'll directly manage a team of engineers and collaborate cross-functionally with sales, technical specialists, and customers, to ensure successful client solutions delivery. Your leadership abilities and technical know-how will help steer the translation of client needs into high-quality services, underpinning the delivery of our computer vision product.

Responsibilities:

Guide the PS Team's Activities:

• Lead and mentor a group of software engineers to ensure quality delivery of client projects.
• Set project goals, monitor performance, and ensure timely delivery.
• Establish software engineering best practices and workflows to enhance team productivity and customer satisfaction.

Define Customer Deliveries:

• Work with our GTM to comprehend customers’ business requirements and challenges.
• Liaise with sales and technical teams to define and validate project scopes.
• Direct your team in translating client needs into actionable technical plans.

Ensure Quality Documentation:

• Oversee the creation of project documentation, which includes objectives, timelines, milestones, and dependencies.
• Ensure all documentation aligns with company standards and client expectations.

Direct Client Implementations:

• Oversee the implementation process, ensuring timely and high-quality delivery.
• Work with technical specialists to identify and rectify potential bottlenecks or challenges.

Qualifications:

• Demonstrated experience leading software engineering teams and overseeing project delivery.
• Knowledge of software engineering best practices and cloud-based technologies.
• Robust analytical skills, paired with the ability to oversee the transition from client needs to technical delivery.
• Ability to execute in a highly dynamic environment with rapidly changing objectives.
• Familiarity with creating technical and project-related documentation.
• Adeptness at overseeing testing procedures and ensuring client satisfaction.
• Stellar communication abilities, emphasising collaboration with various teams and clients.
• Experience in handling concurrent projects, meeting tight timelines, and setting priorities.
• Comfortable working with sales teams and participating in complex, engineering-led discussions and activities.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

As the Team Lead for the Professional Services (PS) EMEA Team at Tractable, you are pivotal in driving the successful delivery of our client projects across EMEA. Overseeing the team, you'll directly manage a team of engineers and collaborate cross-functionally with sales, technical specialists, and customers, to ensure successful client solutions delivery. Your leadership abilities and technical know-how will help steer the translation of client needs into high-quality services, underpinning the delivery of our computer vision product.

Responsibilities:

Guide the PS Team's Activities:

• Lead and mentor a group of software engineers to ensure quality delivery of client projects.
• Set project goals, monitor performance, and ensure timely delivery.
• Establish software engineering best practices and workflows to enhance team productivity and customer satisfaction.

Define Customer Deliveries:

• Work with our GTM to comprehend customers’ business requirements and challenges.
• Liaise with sales and technical teams to define and validate project scopes.
• Direct your team in translating client needs into actionable technical plans.

Ensure Quality Documentation:

• Oversee the creation of project documentation, which includes objectives, timelines, milestones, and dependencies.
• Ensure all documentation aligns with company standards and client expectations.

Direct Client Implementations:

• Oversee the implementation process, ensuring timely and high-quality delivery.
• Work with technical specialists to identify and rectify potential bottlenecks or challenges.

Qualifications:

• Demonstrated experience leading software engineering teams and overseeing project delivery.
• Knowledge of software engineering best practices and cloud-based technologies.
• Robust analytical skills, paired with the ability to oversee the transition from client needs to technical delivery.
• Ability to execute in a highly dynamic environment with rapidly changing objectives.
• Familiarity with creating technical and project-related documentation.
• Adeptness at overseeing testing procedures and ensuring client satisfaction.
• Stellar communication abilities, emphasising collaboration with various teams and clients.
• Experience in handling concurrent projects, meeting tight timelines, and setting priorities.
• Comfortable working with sales teams and participating in complex, engineering-led discussions and activities.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

As the Team Lead for the Professional Services (PS) EMEA Team at Tractable, you are pivotal in driving the successful delivery of our client projects across EMEA. Overseeing the team, you'll directly manage a team of engineers and collaborate cross-functionally with sales, technical specialists, and customers, to ensure successful client solutions delivery. Your leadership abilities and technical know-how will help steer the translation of client needs into high-quality services, underpinning the delivery of our computer vision product.

Responsibilities:

Guide the PS Team's Activities:

• Lead and mentor a group of software engineers to ensure quality delivery of client projects.
• Set project goals, monitor performance, and ensure timely delivery.
• Establish software engineering best practices and workflows to enhance team productivity and customer satisfaction.

Define Customer Deliveries:

• Work with our GTM to comprehend customers’ business requirements and challenges.
• Liaise with sales and technical teams to define and validate project scopes.
• Direct your team in translating client needs into actionable technical plans.

Ensure Quality Documentation:

• Oversee the creation of project documentation, which includes objectives, timelines, milestones, and dependencies.
• Ensure all documentation aligns with company standards and client expectations.

Direct Client Implementations:

• Oversee the implementation process, ensuring timely and high-quality delivery.
• Work with technical specialists to identify and rectify potential bottlenecks or challenges.

Qualifications:

• Demonstrated experience leading software engineering teams and overseeing project delivery.
• Knowledge of software engineering best practices and cloud-based technologies.
• Robust analytical skills, paired with the ability to oversee the transition from client needs to technical delivery.
• Ability to execute in a highly dynamic environment with rapidly changing objectives.
• Familiarity with creating technical and project-related documentation.
• Adeptness at overseeing testing procedures and ensuring client satisfaction.
• Stellar communication abilities, emphasising collaboration with various teams and clients.
• Experience in handling concurrent projects, meeting tight timelines, and setting priorities.
• Comfortable working with sales teams and participating in complex, engineering-led discussions and activities.

What’s in it for you

• Generous equity package

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)

What you will do

You’ll be part of a product development squad and help to build auto insurance tech solutions leveraging bleeding edge AI visual models to provide automation for our insurance customers.

Product squads for our auto products help our customers to generate estimates from a collection of damaged photos of the vehicle or help to review existing damage estimates that are sent by body shops. Our product greatly increases the efficiency of insurers’ processes and enables them to resolve their customers’ problems much more rapidly after an accident.

As an Engineer, you’ll be responsible for the entire lifecycle of the code you write: Development, test, deployment, support and any bug fixes. You’ll be a subject matter expert in at least a large part of the code base with a good understanding of the overall product.

On a day to day basis you will

• Be a member of your scrum squad developing solutions to make Tractable products better
• Write code with deep emphasis on scalability, reliability and maintainability.
• Actively participate in the various scrum ceremonies to promote collaboration between the squad members.
• Ensure that best engineering practices are followed.
• Pair with other Senior and Staff Engineers to break down complicated problems into actionable sprint items.
• Be a part of the on-call rota to provide support to your work product.
• Regularly present your tasks and achievements in the Tractable ceremonies like Show and Tell and Engineering Huddles.
• Be proactive in applying novel technologies in order to ensure incremental increase in quality and/or performance of the product.

Tech stack

Our Tech stack consists of

• Node.js
• Typescript
• Python
• AWS as our Cloud Service provider
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io
• Redshift
• Athena
• Redis

What you need to be successful:

Some of the qualities we’ll love to see are

• Ideally solid development skills on Python and Typescript/Javascript.
• Experience or awareness with core AWS services including S3, Lambdas, EKS/ECS, SQS and SNS.
• Understanding of containers like Docker
• Basic understanding of Kubernetes.
• Reasonable understanding with SQL relational databases and non relational databases.
• Basic Knowledge of full stack product architecture with an emphasis on API and persistence layers.
• Understanding how a well architected stack looks like with Design Patterns, CI/CD, testing et.al.
• Demonstrate prior achievements of software delivery in prior projects.
• Strong communication skills to adapt well to our highly collaborative environment.
• A strong product mindset is crucial for us. You have worked closely with Architects / Senior / Staff level engineering and have an appetite to constantly evolve the tech stack.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

You’ll be part of a product development squad and help to build auto insurance tech solutions leveraging bleeding edge AI visual models to provide automation for our insurance customers.

Product squads for our auto products help our customers to generate estimates from a collection of damaged photos of the vehicle or help to review existing damage estimates that are sent by body shops. Our product greatly increases the efficiency of insurers’ processes and enables them to resolve their customers’ problems much more rapidly after an accident.

As an Engineer, you’ll be responsible for the entire lifecycle of the code you write: Development, test, deployment, support and any bug fixes. You’ll be a subject matter expert in at least a large part of the code base with a good understanding of the overall product.

On a day to day basis you will

• Be a member of your scrum squad developing solutions to make Tractable products better
• Write code with deep emphasis on scalability, reliability and maintainability.
• Actively participate in the various scrum ceremonies to promote collaboration between the squad members.
• Ensure that best engineering practices are followed.
• Pair with other Senior and Staff Engineers to break down complicated problems into actionable sprint items.
• Be a part of the on-call rota to provide support to your work product.
• Regularly present your tasks and achievements in the Tractable ceremonies like Show and Tell and Engineering Huddles.
• Be proactive in applying novel technologies in order to ensure incremental increase in quality and/or performance of the product.

Tech stack

Our Tech stack consists of

• Node.js
• Typescript
• Python
• AWS as our Cloud Service provider
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io
• Redshift
• Athena
• Redis

What you need to be successful:

Some of the qualities we’ll love to see are

• Ideally solid development skills on Python and Typescript/Javascript.
• Experience or awareness with core AWS services including S3, Lambdas, EKS/ECS, SQS and SNS.
• Understanding of containers like Docker
• Basic understanding of Kubernetes.
• Reasonable understanding with SQL relational databases and non relational databases.
• Basic Knowledge of full stack product architecture with an emphasis on API and persistence layers.
• Understanding how a well architected stack looks like with Design Patterns, CI/CD, testing et.al.
• Demonstrate prior achievements of software delivery in prior projects.
• Strong communication skills to adapt well to our highly collaborative environment.
• A strong product mindset is crucial for us. You have worked closely with Architects / Senior / Staff level engineering and have an appetite to constantly evolve the tech stack.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

There’s around 70 of us in the engineering team and we play a key part in bringing our AI to life. We collaborate closely with the Research teams who are responsible for developing our core AI models, we then enable that AI capability to be deployed to real world problems by building out products using modern open-source technologies and best practices.

You will be working out how we can best help millions of people around the world recover faster from an accident. We’re proud to see our products have a massive impact on people daily… and we know this is just the beginning.

You will be joining the Customer Engineering team. Customer Engineering works directly with our business development, product and AI research teams to provide a comprehensive solution to our customers’ business problems. We work in a lean and multi-national team with members in Europe and Japan. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring.

• Lead and orchestrate cross-functional collaboration between AI researchers, product engineering teams, and business development stakeholders to drive innovation and strategic growth.
• Architect and implement sophisticated monitoring systems to proactively detect and resolve issues, optimize performance bottlenecks, and establish comprehensive metrics across our expansive service landscape.
• Demonstrate your seasoned coding expertise by developing advanced solutions on our platform to facilitate seamless onboarding and integration for new customers, leveraging your deep understanding of industry best practices.
• Take charge of streamlining and optimizing the end-to-end onboarding processes, collaborating closely with AI researchers and business teams to maximize efficiency and deliver exceptional customer experiences.
• Elevate the overall quality and reliability of our services through the implementation of rigorous testing methodologies, robust automation frameworks, and continuous improvement initiatives, enabling safe and efficient deployment at scale.
• Exhibit exceptional communication skills by regularly engaging with customers, providing clear and transparent updates on issue resolutions, and fostering strong client relationships to ensure their satisfaction and loyalty.

Tech stack

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had no experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support with that).

• Node.js
• Typescript
• Python
• AWS
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io

What you need to be successful

• Demonstrated track record of extensive experience and expertise in software development.
• Exceptional coding skills in object-oriented programming languages, particularly Python and/or Typescript.
• Deep understanding and practical knowledge of CI/CD best practices and proficiency in leveraging AWS cloud-native technologies.
• Extensive hands-on experience in working with REST protocols, developing web applications, architecting APIs, and managing relational databases.
• Outstanding communication and interpersonal skills, with the ability to effectively collaborate and convey complex ideas to diverse stakeholders.
• Proven ability to excel in an autonomous and dynamic environment, adapting quickly to evolving objectives and delivering high-quality results.
• Strong ownership mentality and self-drive, demonstrating an unwavering commitment from the initial line of code to the direct impact on end users.
• Successful track record of implementing and elevating coding standards and best practices within a mature codebase, optimizing efficiency and maintainability.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

Who we are

Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars – helping people work faster and smarter, while reducing friction and waste.

Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster – even after full-scale disasters like floods and hurricanes.

Tractable has a world-class culture, backed up by our team, making us a global employer of choice!

We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning.

What you will do

There’s around 70 of us in the engineering team and we play a key part in bringing our AI to life. We collaborate closely with the Research teams who are responsible for developing our core AI models, we then enable that AI capability to be deployed to real world problems by building out products using modern open-source technologies and best practices.

You will be working out how we can best help millions of people around the world recover faster from an accident. We’re proud to see our products have a massive impact on people daily… and we know this is just the beginning.

You will be joining the Customer Engineering team. Customer Engineering works directly with our business development, product and AI research teams to provide a comprehensive solution to our customers’ business problems. We work in a lean and multi-national team with members in Europe and Japan. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring.

• Lead and orchestrate cross-functional collaboration between AI researchers, product engineering teams, and business development stakeholders to drive innovation and strategic growth.
• Architect and implement sophisticated monitoring systems to proactively detect and resolve issues, optimize performance bottlenecks, and establish comprehensive metrics across our expansive service landscape.
• Demonstrate your seasoned coding expertise by developing advanced solutions on our platform to facilitate seamless onboarding and integration for new customers, leveraging your deep understanding of industry best practices.
• Take charge of streamlining and optimizing the end-to-end onboarding processes, collaborating closely with AI researchers and business teams to maximize efficiency and deliver exceptional customer experiences.
• Elevate the overall quality and reliability of our services through the implementation of rigorous testing methodologies, robust automation frameworks, and continuous improvement initiatives, enabling safe and efficient deployment at scale.
• Exhibit exceptional communication skills by regularly engaging with customers, providing clear and transparent updates on issue resolutions, and fostering strong client relationships to ensure their satisfaction and loyalty.

Tech stack

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had no experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support with that).

• Node.js
• Typescript
• Python
• AWS
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io

What you need to be successful

• Demonstrated track record of extensive experience and expertise in software development.
• Exceptional coding skills in object-oriented programming languages, particularly Python and/or Typescript.
• Deep understanding and practical knowledge of CI/CD best practices and proficiency in leveraging AWS cloud-native technologies.
• Extensive hands-on experience in working with REST protocols, developing web applications, architecting APIs, and managing relational databases.
• Outstanding communication and interpersonal skills, with the ability to effectively collaborate and convey complex ideas to diverse stakeholders.
• Proven ability to excel in an autonomous and dynamic environment, adapting quickly to evolving objectives and delivering high-quality results.
• Strong ownership mentality and self-drive, demonstrating an unwavering commitment from the initial line of code to the direct impact on end users.
• Successful track record of implementing and elevating coding standards and best practices within a mature codebase, optimizing efficiency and maintainability.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

There’s around 70 of us in the engineering team and we play a key part in bringing our AI to life. We collaborate closely with the Research teams who are responsible for developing our core AI models, we then enable that AI capability to be deployed to real world problems by building out products using modern open-source technologies and best practices.

You will be working out how we can best help millions of people around the world recover faster from an accident. We’re proud to see our products have a massive impact on people daily… and we know this is just the beginning.

You will be joining the Customer Engineering/Professional Services team. Customer Engineering works directly with our business development, product and AI research teams to provide a comprehensive solution to our customers’ business problems. We work in a lean and multi-national team with members in Europe and Japan. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring.

• Lead and orchestrate cross-functional collaboration between AI researchers, product engineering teams, and business development stakeholders to drive innovation and strategic growth.
• Architect and implement sophisticated monitoring systems to proactively detect and resolve issues, optimize performance bottlenecks, and establish comprehensive metrics across our expansive service landscape.
• Demonstrate your seasoned coding expertise by developing advanced solutions on our platform to facilitate seamless onboarding and integration for new customers, leveraging your deep understanding of industry best practices.
• Take charge of streamlining and optimizing the end-to-end onboarding processes, collaborating closely with AI researchers and business teams to maximize efficiency and deliver exceptional customer experiences.
• Elevate the overall quality and reliability of our services through the implementation of rigorous testing methodologies, robust automation frameworks, and continuous improvement initiatives, enabling safe and efficient deployment at scale.
• Exhibit exceptional communication skills by regularly engaging with customers, providing clear and transparent updates on issue resolutions, and fostering strong client relationships to ensure their satisfaction and loyalty.

Tech stack

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had no experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support with that).

• Node.js
• Typescript
• Python
• AWS
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io

What you need to be successful

• Demonstrated track record of extensive experience and expertise in software development.
• Exceptional coding skills in object-oriented programming languages, particularly Python and/or Typescript.
• Deep understanding and practical knowledge of CI/CD best practices and proficiency in leveraging AWS cloud-native technologies.
• Extensive hands-on experience in working with REST protocols, developing web applications, architecting APIs, and managing relational databases.
• Outstanding communication and interpersonal skills, with the ability to effectively collaborate and convey complex ideas to diverse stakeholders.
• Proven ability to excel in an autonomous and dynamic environment, adapting quickly to evolving objectives and delivering high-quality results.
• Strong ownership mentality and self-drive, demonstrating an unwavering commitment from the initial line of code to the direct impact on end users.
• Successful track record of implementing and elevating coding standards and best practices within a mature codebase, optimizing efficiency and maintainability.

What’s in it for you

• Generous equity package

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)

What you will do

You’ll be part of a product development squad and help to build auto insurance tech solutions leveraging bleeding edge AI visual models to provide automation for our insurance customers.

Product squads for our auto products help our customers to generate estimates from a collection of damaged photos of the vehicle or help to review existing damage estimates that are sent by body shops. Our product greatly increases the efficiency of insurers’ processes and enables them to resolve their customers’ problems much more rapidly after an accident.

As an Engineer, you’ll be responsible for the entire lifecycle of the code you write: Development, test, deployment, support and any bug fixes. You’ll be a subject matter expert in at least a large part of the code base with a good understanding of the overall product.

On a day to day basis you will

• Be a member of your scrum squad developing solutions to make Tractable products better
• Write code with deep emphasis on scalability, reliability and maintainability.
• Actively participate in the various scrum ceremonies to promote collaboration between the squad members.
• Ensure that best engineering practices are followed.
• Pair with other Senior and Staff Engineers to break down complicated problems into actionable sprint items.
• Be a part of the on-call rota to provide support to your work product.
• Regularly present your tasks and achievements in the Tractable ceremonies like Show and Tell and Engineering Huddles.
• Be proactive in applying novel technologies in order to ensure incremental increase in quality and/or performance of the product.

Tech stack

Our Tech stack consists of

• Node.js
• Typescript
• Python
• AWS as our Cloud Service provider
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io
• Redshift
• Athena
• Redis

What you need to be successful:

Some of the qualities we’ll love to see are

• Ideally solid development skills on Python and Typescript/Javascript.
• Experience or awareness with core AWS services including S3, Lambdas, EKS/ECS, SQS and SNS.
• Understanding of containers like Docker
• Basic understanding of Kubernetes.
• Reasonable understanding with SQL relational databases and non relational databases.
• Basic Knowledge of full stack product architecture with an emphasis on API and persistence layers.
• Understanding how a well architected stack looks like with Design Patterns, CI/CD, testing et.al.
• Demonstrate prior achievements of software delivery in prior projects.
• Strong communication skills to adapt well to our highly collaborative environment.
• A strong product mindset is crucial for us. You have worked closely with Architects / Senior / Staff level engineering and have an appetite to constantly evolve the tech stack.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

You’ll be part of a product development squad and help to build auto insurance tech solutions leveraging bleeding edge AI visual models to provide automation for our insurance customers.

Product squads for our auto products help our customers to generate estimates from a collection of damaged photos of the vehicle or help to review existing damage estimates that are sent by body shops. Our product greatly increases the efficiency of insurers’ processes and enables them to resolve their customers’ problems much more rapidly after an accident.

As an Engineer, you’ll be responsible for the entire lifecycle of the code you write: Development, test, deployment, support and any bug fixes. You’ll be a subject matter expert in at least a large part of the code base with a good understanding of the overall product.

On a day to day basis you will

• Be a member of your scrum squad developing solutions to make Tractable products better
• Write code with deep emphasis on scalability, reliability and maintainability.
• Actively participate in the various scrum ceremonies to promote collaboration between the squad members.
• Ensure that best engineering practices are followed.
• Pair with other Senior and Staff Engineers to break down complicated problems into actionable sprint items.
• Be a part of the on-call rota to provide support to your work product.
• Regularly present your tasks and achievements in the Tractable ceremonies like Show and Tell and Engineering Huddles.
• Be proactive in applying novel technologies in order to ensure incremental increase in quality and/or performance of the product.

Tech stack

Our Tech stack consists of

• Node.js
• Typescript
• Python
• AWS as our Cloud Service provider
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io
• Redshift
• Athena
• Redis

What you need to be successful:

Some of the qualities we’ll love to see are

• Ideally solid development skills on Python and Typescript/Javascript.
• Experience or awareness with core AWS services including S3, Lambdas, EKS/ECS, SQS and SNS.
• Understanding of containers like Docker
• Basic understanding of Kubernetes.
• Reasonable understanding with SQL relational databases and non relational databases.
• Basic Knowledge of full stack product architecture with an emphasis on API and persistence layers.
• Understanding how a well architected stack looks like with Design Patterns, CI/CD, testing et.al.
• Demonstrate prior achievements of software delivery in prior projects.
• Strong communication skills to adapt well to our highly collaborative environment.
• A strong product mindset is crucial for us. You have worked closely with Architects / Senior / Staff level engineering and have an appetite to constantly evolve the tech stack.

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

There’s around 70 of us in the engineering team and we play a key part in bringing our AI to life. We collaborate closely with the Research teams who are responsible for developing our core AI models, we then enable that AI capability to be deployed to real world problems by building out products using modern open-source technologies and best practices.

You will be working out how we can best help millions of people around the world recover faster from an accident. We’re proud to see our products have a massive impact on people daily… and we know this is just the beginning.

You will be joining the Customer Engineering team. Customer Engineering works directly with our business development, product and AI research teams to provide a comprehensive solution to our customers’ business problems. We work in a lean and multi-national team with members in Europe and Japan. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring.

• Work at a key intersection between AI researchers, product engineering teams, and business development
• Implementing monitoring that will help us identify issues, bottlenecks and calculate metrics in our services
• Writing code against our platform to onboard new customers
• Collaborating with AI researchers and business teams to streamline the onboarding processes
• Improve the quality of all our services so that we can continuously deploy at low risk
• Clearly and frequently communicate with customers and keep them updated on the issue status

Tech stack

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had no experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support with that).

• Node.js
• Typescript
• Python
• AWS
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io

What you need to be successful

• Demonstrable track record of experience in software development
• Excellent coding skills using mainly object-oriented programming languages (preferably Python and/or Typescript)
• Experience in CI/CD best practices and AWS cloud native technologies
• Hands-on experience with REST protocols, web applications, APIs and relational databases
• Excellent communication and interpersonal skills
• Ability to work independently and effectively in a highly dynamic environment with rapidly changing objectives
• Strong ownership mentality and self-drive from the first line of code to the impact on the end user

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

There’s around 70 of us in the engineering team and we play a key part in bringing our AI to life. We collaborate closely with the Research teams who are responsible for developing our core AI models, we then enable that AI capability to be deployed to real world problems by building out products using modern open-source technologies and best practices.

You will be working out how we can best help millions of people around the world recover faster from an accident. We’re proud to see our products have a massive impact on people daily… and we know this is just the beginning.

You will be joining the Customer Engineering team. Customer Engineering works directly with our business development, product and AI research teams to provide a comprehensive solution to our customers’ business problems. We work in a lean and multi-national team with members in Europe and Japan. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring.

• Work at a key intersection between AI researchers, product engineering teams, and business development
• Implementing monitoring that will help us identify issues, bottlenecks and calculate metrics in our services
• Writing code against our platform to onboard new customers
• Collaborating with AI researchers and business teams to streamline the onboarding processes
• Improve the quality of all our services so that we can continuously deploy at low risk
• Clearly and frequently communicate with customers and keep them updated on the issue status

Tech stack

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had no experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support with that).

• Node.js
• Typescript
• Python
• AWS
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io

What you need to be successful

• Demonstrable track record of experience in software development
• Excellent coding skills using mainly object-oriented programming languages (preferably Python and/or Typescript)
• Experience in CI/CD best practices and AWS cloud native technologies
• Hands-on experience with REST protocols, web applications, APIs and relational databases
• Excellent communication and interpersonal skills
• Ability to work independently and effectively in a highly dynamic environment with rapidly changing objectives
• Strong ownership mentality and self-drive from the first line of code to the impact on the end user

What’s in it for you

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

What you will do

There’s around 70 of us in the engineering team and we play a key part in bringing our AI to life. We collaborate closely with the Research teams who are responsible for developing our core AI models, we then enable that AI capability to be deployed to real world problems by building out products using modern open-source technologies and best practices.

You will be working out how we can best help millions of people around the world recover faster from an accident. We’re proud to see our products have a massive impact on people daily… and we know this is just the beginning.

You will be joining the Customer Engineering team. Customer Engineering works directly with our business development, product and AI research teams to provide a comprehensive solution to our customers’ business problems. We work in a lean and multi-national team with members in Europe and Japan. We continuously learn how to best achieve our mission: we make the best of feedback and experiences brought in by everyone and we look forward to hearing about what you can bring.

• Work at a key intersection between AI researchers, product engineering teams, and business development
• Implementing monitoring that will help us identify issues, bottlenecks and calculate metrics in our services
• Writing code against our platform to onboard new customers
• Collaborating with AI researchers and business teams to streamline the onboarding processes
• Improve the quality of all our services so that we can continuously deploy at low risk
• Clearly and frequently communicate with customers and keep them updated on the issue status

Tech stack

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had no experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support with that).

• Node.js
• Typescript
• Python
• AWS
• Serverless technologies (Lambda, SQS, Step Functions)
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• Harness.io

What you need to be successful

• Demonstrable track record of experience in software development
• Excellent coding skills using mainly object-oriented programming languages (preferably Python and/or Typescript)
• Experience in CI/CD best practices and AWS cloud native technologies
• Hands-on experience with REST protocols, web applications, APIs and relational databases
• Excellent communication and interpersonal skills
• Ability to work independently and effectively in a highly dynamic environment with rapidly changing objectives
• Strong ownership mentality and self-drive from the first line of code to the impact on the end user

What’s in it for you

• Generous equity package

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)

Research @ Tractable

Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “virtual” motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

What you will do

• As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will:
• Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

What you need to be successful
Basic qualifications

• Master's in Computer Science, Machine Learning, or related quantitative field. A phD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
• Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
• Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
• Experience programming in Python, C++, or related languages

Preferred qualifications

• Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
• Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience with end-to-end software development and life cycle of machine learning solutions.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

What’s in it for you

Generous financial reward for your effort

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

#LI-TE1

Research @ Tractable

Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “virtual” motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

What you will do

• As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will:
• Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

What you need to be successful
Basic qualifications

• Master's in Computer Science, Machine Learning, or related quantitative field. A phD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
• Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
• Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
• Experience programming in Python, C++, or related languages

Preferred qualifications

• Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
• Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience with end-to-end software development and life cycle of machine learning solutions.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

What’s in it for you

Generous financial reward for your effort

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

#LI-TE1

Research @ Tractable

Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “virtual” motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

What you will do

• As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will:
• Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

What you need to be successful
Basic qualifications

• Master's in Computer Science, Machine Learning, or related quantitative field. A phD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
• Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
• Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
• Experience programming in Python, C++, or related languages

Preferred qualifications

• Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
• Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience with end-to-end software development and life cycle of machine learning solutions.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

What’s in it for you

Generous financial reward for your effort

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

#LI-TE1

Research @ Tractable

Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “virtual” motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

What you will do

• As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will:
• Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

What you need to be successful
Basic qualifications

• Master's in Computer Science, Machine Learning, or related quantitative field. A phD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
• Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
• Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
• Experience programming in Python, C++, or related languages

Preferred qualifications

• Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
• Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience with end-to-end software development and life cycle of machine learning solutions.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

What’s in it for you

Generous financial reward for your effort

• Generous equity package

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

• L&D budget to use on Learnerbly (our learning platform)
• Meal vouchers

#LI-TE1

Research @ Tractable

Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “virtual” motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

What you will do

As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will:

• Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

What you need to be successful
Basic qualifications

• Master's in Computer Science, Machine Learning, or related quantitative field. A PhD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
• Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
• Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
• Computer vision experience.
• Experience programming in Python, C++, or related languages

Preferred qualifications

• Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
• Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience with end-to-end software development and life cycle of machine learning solutions.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

What’s in it for you

Generous financial reward for your effort

• Twice a year compensation reviews
• Generous equity package
• 5% employer match on pension

Time off and flexible working

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Additional leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

Support for your health and wellbeing

• Highest tier of private health coverage through Bupa
• Access to a virtual GP through Babylon
• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

Additional perks

• L&D budget to use on Learnerbly (our learning platform)
• Cycle to Work scheme

Research @ Tractable

Our team shapes the technical foundations used across all Tractable products, currently focused on auto insurance and natural disaster recovery. Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems solving some of the trickiest problems in computer vision, and our innovation has already improved the lives of 100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly build new products and use cases. Our current mission is to create a reliable and safe “virtual” motor appraiser/expert as a service, we can leverage to solve many use cases across the automotive industry. We are doing so, by building high-quality input capture mechanisms for our users, creating a state-of-the-art damage assessment stack for auto damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into mission-critical systems.

What you will do

• As an Applied scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will:
• Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

What you need to be successful
Basic qualifications

• Master's in Computer Science, Machine Learning, or related quantitative field. A phD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
• Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
• Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
• Experience programming in Python, C++, or related languages

Preferred qualifications

• Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
• Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
• Experience with end-to-end software development and life cycle of machine learning solutions.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization

What’s in it for you

Generous financial reward for your effort

• Twice a year compensation reviews
• Generous equity package
• 5% employer match on pension

Time off and flexible working

• 25 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working
• Additional leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

Support for your health and wellbeing

• Highest tier of private health coverage through Bupa
• Access to a virtual GP through Babylon
• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

Additional perks

• L&D budget to use on Learnerbly (our learning platform)
• Cycle to Work scheme