Matching the people with the knowledge to solve today and tomorrow's problems with the companies who need their help to do it. AND WITH AI. An opportunity to get your hands down and dirty with data to help companies find the best talent. Specifically focusing on research, innovation, science, and engineering. There is a huge and complex database, using AI to provide quantitative insights that are unmatched. These insights highlight underrepresented talent, particularly women. Day to day, you'll design and develop data pipelines, ensuring data is clean, transformed, and integrated efficiently into the database. The environment is collaborative, working closely with machine learning engineers and data scientists to facilitate seamless data analysis. You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in Python and SQL is essential, as well as enjoying using them daily. This is a chance to have a genuine impact in a growing company with a mission to improve accessibility to tomorrow's saviors. You'll work in a collaborative environment, learning from talented engineers and led by one of the UK's brightest minds. And of course, everyone's favourite buzz word: Artificial Intelligence. No CV required to get more details-reach out!
Jul 17, 2025
Full time
Matching the people with the knowledge to solve today and tomorrow's problems with the companies who need their help to do it. AND WITH AI. An opportunity to get your hands down and dirty with data to help companies find the best talent. Specifically focusing on research, innovation, science, and engineering. There is a huge and complex database, using AI to provide quantitative insights that are unmatched. These insights highlight underrepresented talent, particularly women. Day to day, you'll design and develop data pipelines, ensuring data is clean, transformed, and integrated efficiently into the database. The environment is collaborative, working closely with machine learning engineers and data scientists to facilitate seamless data analysis. You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in Python and SQL is essential, as well as enjoying using them daily. This is a chance to have a genuine impact in a growing company with a mission to improve accessibility to tomorrow's saviors. You'll work in a collaborative environment, learning from talented engineers and led by one of the UK's brightest minds. And of course, everyone's favourite buzz word: Artificial Intelligence. No CV required to get more details-reach out!
DeepAR is seeking a skilled and experienced AR (Augmented Reality) Product Manager to join our dynamic, international and very tech-centric team. As an AR Product Manager, you will play a crucial role in driving the development and success of our AR products. You will be responsible for managing the lifecycle and Go to Market of our AR CMS platforms, working with the CEO and leadership team on strategy and client research, through to product specification, agile development and ultimately in-life operations. Your expertise in AR technology, market research, and product management will be key in creating a powerful, and constantly evolving platform that drives ROI for our diverse international client base. Responsibilities Strategy and Planning: Develop and execute a comprehensive AR product strategy aligned with company goals and market trends Conduct market research and competitor analysis to identify opportunities and define product differentiators Collaborate with cross-functional teams to define product roadmaps, prioritize features, and set realistic timelines Product Development: Lead the end-to-end product development process, including requirements gathering, feature definition, and UI/UX design. Work closely with development teams to ensure the successful and agile implementation. Define and manage product milestones, deliverables, and quality standards. User Experience and Testing: Advocate for an exceptional user experience by gathering user feedback, conducting usability tests, and iterating on product features accordingly. Collaborate with UX/UI designers to create intuitive and engaging platform interfaces. Monitor user metrics and analytics to identify areas for improvement and drive product optimization efforts. Cross-Functional Collaboration: Collaborate with stakeholders, including developers, designers, marketers, and sales teams, to ensure a seamless integration of AR products across the organization. Communicate product updates, progress, and milestones to internal teams and external stakeholders. Work closely with engineering teams to address technical challenges and provide guidance on AR implementation. Market Launch and Growth: Develop go-to-market strategies for new AR platform, including pricing, positioning, and promotional activities. Collaborate with marketing teams to create compelling product messaging and marketing campaigns. Monitor market trends, competitive landscape, and customer feedback to identify growth opportunities and drive product enhancements. Qualifications Bachelor's or Master's degree in a relevant field, such as computer science, product management, or a related discipline. Proven track record of at least 7 years in product management, preferably in AR or related technologies. Deep experience managing platform solutions, APIs and complex technical products Strong understanding of AR technology, industry trends, and user experience principles. Experience in product development methodologies, such as Agile. Exceptional analytical and problem-solving skills, with the ability to translate data into actionable insights. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Demonstrated leadership abilities and a results-oriented mindset. Passion for emerging technologies and a desire to innovate in the AR space. We love people who have deep skills across multiple realms; PMs who can use design tools (i.e. Figma), write code, and utilise terminal prompts You need to be able to work independently, efficiently and leanly - but also know when to ask questions and ensure that you're always on the right course (time is of the essence). Love to focus on deep work but also collaborate great in person it's all about the balance. About DeepAR Join our team as an AR Product Manager and be at the forefront of shaping the future of augmented reality experiences. We're a very motley group of hackers, designers, engineers, rocket scientists and story tellers, who come from all around Europe and the world, and weave together experience from Snap, Dreamworks, Angry Birds, Meta, MIT, Amazon and Tiktok. Come join the fun and contribute to delivering cutting-edge products that redefine user engagement and interaction.
Jul 17, 2025
Full time
DeepAR is seeking a skilled and experienced AR (Augmented Reality) Product Manager to join our dynamic, international and very tech-centric team. As an AR Product Manager, you will play a crucial role in driving the development and success of our AR products. You will be responsible for managing the lifecycle and Go to Market of our AR CMS platforms, working with the CEO and leadership team on strategy and client research, through to product specification, agile development and ultimately in-life operations. Your expertise in AR technology, market research, and product management will be key in creating a powerful, and constantly evolving platform that drives ROI for our diverse international client base. Responsibilities Strategy and Planning: Develop and execute a comprehensive AR product strategy aligned with company goals and market trends Conduct market research and competitor analysis to identify opportunities and define product differentiators Collaborate with cross-functional teams to define product roadmaps, prioritize features, and set realistic timelines Product Development: Lead the end-to-end product development process, including requirements gathering, feature definition, and UI/UX design. Work closely with development teams to ensure the successful and agile implementation. Define and manage product milestones, deliverables, and quality standards. User Experience and Testing: Advocate for an exceptional user experience by gathering user feedback, conducting usability tests, and iterating on product features accordingly. Collaborate with UX/UI designers to create intuitive and engaging platform interfaces. Monitor user metrics and analytics to identify areas for improvement and drive product optimization efforts. Cross-Functional Collaboration: Collaborate with stakeholders, including developers, designers, marketers, and sales teams, to ensure a seamless integration of AR products across the organization. Communicate product updates, progress, and milestones to internal teams and external stakeholders. Work closely with engineering teams to address technical challenges and provide guidance on AR implementation. Market Launch and Growth: Develop go-to-market strategies for new AR platform, including pricing, positioning, and promotional activities. Collaborate with marketing teams to create compelling product messaging and marketing campaigns. Monitor market trends, competitive landscape, and customer feedback to identify growth opportunities and drive product enhancements. Qualifications Bachelor's or Master's degree in a relevant field, such as computer science, product management, or a related discipline. Proven track record of at least 7 years in product management, preferably in AR or related technologies. Deep experience managing platform solutions, APIs and complex technical products Strong understanding of AR technology, industry trends, and user experience principles. Experience in product development methodologies, such as Agile. Exceptional analytical and problem-solving skills, with the ability to translate data into actionable insights. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Demonstrated leadership abilities and a results-oriented mindset. Passion for emerging technologies and a desire to innovate in the AR space. We love people who have deep skills across multiple realms; PMs who can use design tools (i.e. Figma), write code, and utilise terminal prompts You need to be able to work independently, efficiently and leanly - but also know when to ask questions and ensure that you're always on the right course (time is of the essence). Love to focus on deep work but also collaborate great in person it's all about the balance. About DeepAR Join our team as an AR Product Manager and be at the forefront of shaping the future of augmented reality experiences. We're a very motley group of hackers, designers, engineers, rocket scientists and story tellers, who come from all around Europe and the world, and weave together experience from Snap, Dreamworks, Angry Birds, Meta, MIT, Amazon and Tiktok. Come join the fun and contribute to delivering cutting-edge products that redefine user engagement and interaction.
Are you a software engineer looking to make an impact on AI technology? Do you have software engineering expertise and a passion for innovation? About Team: The AI Platform team is responsible for the features that power the AI capabilities of one of LexisNexis IP's flagship products, PatentSight+. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI tools. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform. You'll be working in a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Delivering AI-powered features. Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases. Participating in development processes and code reviews. Operating in a Scrum-based development environment while collaborating with stakeholders. Proactively seeking to learn about best coding practices in Python. Requirements: Ability to write code and tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results . We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.
Jul 17, 2025
Full time
Are you a software engineer looking to make an impact on AI technology? Do you have software engineering expertise and a passion for innovation? About Team: The AI Platform team is responsible for the features that power the AI capabilities of one of LexisNexis IP's flagship products, PatentSight+. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI tools. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform. You'll be working in a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Delivering AI-powered features. Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases. Participating in development processes and code reviews. Operating in a Scrum-based development environment while collaborating with stakeholders. Proactively seeking to learn about best coding practices in Python. Requirements: Ability to write code and tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results . We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.
At Basecamp Research, we're seeking a Head of AI to lead our team. Who we are & about this role We believe the future of biotech will combine diverse natural data sets with cutting-edge AI algorithms. We've built the largest ethically sampled biodiversity database and demonstrated state-of-the-art models in biology. After raising $60 million in Series B funding, we are expanding our team and resources to develop next-generation biological foundation models. This role involves steering our AI strategy, leading the AI team, and managing collaborations with academia and industry, including partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and apply findings Manage multiple research projects aligned with company objectives Design AI system architecture, balancing research and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from you!
Jul 17, 2025
Full time
At Basecamp Research, we're seeking a Head of AI to lead our team. Who we are & about this role We believe the future of biotech will combine diverse natural data sets with cutting-edge AI algorithms. We've built the largest ethically sampled biodiversity database and demonstrated state-of-the-art models in biology. After raising $60 million in Series B funding, we are expanding our team and resources to develop next-generation biological foundation models. This role involves steering our AI strategy, leading the AI team, and managing collaborations with academia and industry, including partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and apply findings Manage multiple research projects aligned with company objectives Design AI system architecture, balancing research and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, Computational Biology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from you!
SDE, IIoT, Decision Science and Technology (DST) Interested in creating systems and services that bring the power of Machine Learning (ML) to new application fields? With IIoT products, our organization is setting the standard for high-performance, easy-to-use, and cost-effective ML services. Our team expands this portfolio to new applications, enhancing our condition-based maintenance program, and maximizing equipment availability. As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with a team of research and applied scientists to influence our overall strategy and define the team's roadmap. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large-scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities - Solving difficult problems with elegant and practical code - Helping define engineering best practices and providing technical mentorship to other members of the engineering team - Being thoughtful for the customer and ensuring their needs come first - Designing and building software for a multitude of sensors (vibration, temperature), mobile clients, and back-end cloud server systems You're an awesome fit if you demonstrate: - Industry-leading technical abilities show-casing a breadth and depth of technical knowledge - The ability to build good working relationships within the team by communicating clearly both verbally and in writing - Strong problem solving and trouble shooting skills with the ability to come up with creative solutions to seemingly impossible problems - Effective technical leadership skills to improve technologies and infrastructure of the team - Are curious trying new technologies, and passionate about innovating on behalf of customers About the team DST combines the expertise from talented program, product managers, engineers, and scientists to create programs and products that support such programs to drive cost optimization, and prevent events (e.g., unplanned downtime) that negatively impact customer experience. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: June 17, 2025 (Updated 37 minutes ago) Posted: June 17, 2025 (Updated about 1 hour ago) Posted: January 22, 2025 (Updated about 1 hour ago) Posted: June 17, 2025 (Updated about 2 hours ago) Posted: June 17, 2025 (Updated about 4 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2025
Full time
SDE, IIoT, Decision Science and Technology (DST) Interested in creating systems and services that bring the power of Machine Learning (ML) to new application fields? With IIoT products, our organization is setting the standard for high-performance, easy-to-use, and cost-effective ML services. Our team expands this portfolio to new applications, enhancing our condition-based maintenance program, and maximizing equipment availability. As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with a team of research and applied scientists to influence our overall strategy and define the team's roadmap. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large-scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities - Solving difficult problems with elegant and practical code - Helping define engineering best practices and providing technical mentorship to other members of the engineering team - Being thoughtful for the customer and ensuring their needs come first - Designing and building software for a multitude of sensors (vibration, temperature), mobile clients, and back-end cloud server systems You're an awesome fit if you demonstrate: - Industry-leading technical abilities show-casing a breadth and depth of technical knowledge - The ability to build good working relationships within the team by communicating clearly both verbally and in writing - Strong problem solving and trouble shooting skills with the ability to come up with creative solutions to seemingly impossible problems - Effective technical leadership skills to improve technologies and infrastructure of the team - Are curious trying new technologies, and passionate about innovating on behalf of customers About the team DST combines the expertise from talented program, product managers, engineers, and scientists to create programs and products that support such programs to drive cost optimization, and prevent events (e.g., unplanned downtime) that negatively impact customer experience. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: June 17, 2025 (Updated 37 minutes ago) Posted: June 17, 2025 (Updated about 1 hour ago) Posted: January 22, 2025 (Updated about 1 hour ago) Posted: June 17, 2025 (Updated about 2 hours ago) Posted: June 17, 2025 (Updated about 4 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role We're seeking a Research Engineer to conduct innovative research in key AI areas including evaluation methodologies (particularly those grounded in human data), alignment techniques, and synthetic data generation. You'll bridge the gap between cutting-edge AI research and practical applications, helping to translate research insights into valuable products and services. As part of our commitment to contribute to the wider AI community, you'll be involved in writing papers that advance the field. Your work will directly impact how we understand, evaluate, and improve AI systems through high-quality human data. What You'll Be Doing Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data Contribute to the academic AI community through publications and open-source contributions Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field Technical Implementation Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches Develop scalable frameworks for systematic evaluation of model behaviours and capabilities Create tools and frameworks that transform research insights into practical applications Build infrastructure to support large-scale research experiments when needed Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals Cross-Functional Collaboration Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications Mentor team members on advanced AI concepts and emerging research directions Communicate complex technical concepts to diverse stakeholders What You'll Bring 5+ years of engineering experience with significant AI/ML focus Demonstrated research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define and pursue research directions independently Excellent understanding of current challenges in AI safety, reliability, and alignment Strong communication skills and ability to explain complex research concepts clearly Passion for staying current with the rapidly evolving AI research landscape Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific'sCandidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Do you currently hold the right to work in the UK? Select Do you now or will you in future require sponsorship to work in the UK? Select What is your expected annual salary in GBP? What is your current notice period? Do you require any reasonable adjustments to the interview process? (If yes, please inform our Talent team) Select Are you currently located in the UK or do you plan to be based in the UK upon commencing employment?
Jul 17, 2025
Full time
Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role We're seeking a Research Engineer to conduct innovative research in key AI areas including evaluation methodologies (particularly those grounded in human data), alignment techniques, and synthetic data generation. You'll bridge the gap between cutting-edge AI research and practical applications, helping to translate research insights into valuable products and services. As part of our commitment to contribute to the wider AI community, you'll be involved in writing papers that advance the field. Your work will directly impact how we understand, evaluate, and improve AI systems through high-quality human data. What You'll Be Doing Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data Contribute to the academic AI community through publications and open-source contributions Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field Technical Implementation Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches Develop scalable frameworks for systematic evaluation of model behaviours and capabilities Create tools and frameworks that transform research insights into practical applications Build infrastructure to support large-scale research experiments when needed Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals Cross-Functional Collaboration Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications Mentor team members on advanced AI concepts and emerging research directions Communicate complex technical concepts to diverse stakeholders What You'll Bring 5+ years of engineering experience with significant AI/ML focus Demonstrated research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define and pursue research directions independently Excellent understanding of current challenges in AI safety, reliability, and alignment Strong communication skills and ability to explain complex research concepts clearly Passion for staying current with the rapidly evolving AI research landscape Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific'sCandidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Do you currently hold the right to work in the UK? Select Do you now or will you in future require sponsorship to work in the UK? Select What is your expected annual salary in GBP? What is your current notice period? Do you require any reasonable adjustments to the interview process? (If yes, please inform our Talent team) Select Are you currently located in the UK or do you plan to be based in the UK upon commencing employment?
Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. • Familiar with ML models and work independent. • Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. BASIC QUALIFICATIONS - • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - • Strong analytical thinking - • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2025
Full time
Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. • Familiar with ML models and work independent. • Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. BASIC QUALIFICATIONS - • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - • Strong analytical thinking - • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Job ID: Amazon Development Centre (India) Private Limited - S55 The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: • Using live package and truck signals to adjust truck capacities in real-time • HOTW models for Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: April 8, 2025 (Updated about 11 hours ago) Posted: May 13, 2025 (Updated 2 days ago) Posted: May 13, 2025 (Updated 3 days ago) Posted: May 19, 2025 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2025
Full time
Job ID: Amazon Development Centre (India) Private Limited - S55 The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: • Using live package and truck signals to adjust truck capacities in real-time • HOTW models for Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: April 8, 2025 (Updated about 11 hours ago) Posted: May 13, 2025 (Updated 2 days ago) Posted: May 13, 2025 (Updated 3 days ago) Posted: May 19, 2025 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior Research Scientist (Foundational Research, Machine Learning) page is loaded Senior Research Scientist (Foundational Research, Machine Learning) Apply remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago job requisition id JREQ184676 Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Senior Research Scientist with a passion for solving challenging machine learning problems in a data-rich, complex academic environment. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long-term research for the future. As a Senior Research Scientist, you will be part of a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development, fueled by an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the Role In this opportunity, as Senior Research Scientist you will: Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available. Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. About You You're a fit for the role if your background includes: Required Qualifications: PhD student or recent graduate with research experience in a technical discipline. First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar. Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability to work with limited supervision. Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred Qualifications: Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc. Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Previous experience working on large-scale machine learning systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. Other key points: Plenty of data, compute, and high-impact problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over60,000 TBsworth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on Similar Jobs (5) Research Engineer, Data (Foundational Research, Machine Learning) remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago (Python Based) Senior Research Engineer remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago Lead Applied Scientist - Research Products remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago
Jul 17, 2025
Full time
Senior Research Scientist (Foundational Research, Machine Learning) page is loaded Senior Research Scientist (Foundational Research, Machine Learning) Apply remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago job requisition id JREQ184676 Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Senior Research Scientist with a passion for solving challenging machine learning problems in a data-rich, complex academic environment. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects while investing in long-term research for the future. As a Senior Research Scientist, you will be part of a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development, fueled by an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the Role In this opportunity, as Senior Research Scientist you will: Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available. Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. About You You're a fit for the role if your background includes: Required Qualifications: PhD student or recent graduate with research experience in a technical discipline. First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar. Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability to work with limited supervision. Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred Qualifications: Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc. Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Previous experience working on large-scale machine learning systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. Other key points: Plenty of data, compute, and high-impact problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over60,000 TBsworth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on Similar Jobs (5) Research Engineer, Data (Foundational Research, Machine Learning) remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago (Python Based) Senior Research Engineer remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago Lead Applied Scientist - Research Products remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago
The Labs Tax & Corporates team is seeking an exceptional Director to lead our applied research and discovery work in the Corporates Tax & Trade product segment. The ONESOURCE suite provides a comprehensive set of direct tax, indirect tax and trade management solutions for corporations in retail, technology, pharma and many other industries. Thomson Reuters recently launched new AI capabilities in this space, including an AI assistant as well as a capability to classify goods & products. The successful candidate will work with the team to further push the envelope of AI in Corporates Tax & Trade, keep delivering solutions that solve customer problems today and discover the art of the possible for AI in Tax & Trade. About the Role: In this opportunity as an Applied Research Director for Corporates Tax & Trade you will: Lead: You will lead a high performing team of 20+ applied scientists and research engineers, setting clear expectations, modeling expected behaviors and actively coaching. You will be a proactive communicator who is excited to share their work and even more excited to highlight the accomplishments of their team. Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will enable your team to solve complex business problems and build solutions with clearly defined outcomes. You will drive the end-to-end model development lifecycle partnering effectively with a collaborative cross-functional team. You will deliver novel features and experiences in the ONESOURCE AI Assistant and other AI product experiences in ONESOURCE Innovate: o You will be empowered to try new approaches, learn new technologies, and take informed risks with good judgement. Furthermore, you will encourage and empower your team to do the same. o You will foster innovative ideas to solve real-world challenges. You will help lead the way in growing the understanding and adoption of AI, NLP and IR across the enterprise. Key new initiatives include: The ONESOURCE Intelligent Compliance vision which aims to combine end to end compliance capabilities with market leading content, expertise and AI to help customers plan ahead and make directional tax & trade compliance decisions Have oversight on multiple large projects and initiatives across multiple key TR product lines in Corporates Tax & Trade Work directly with leaders in product management, product marketing, engineering, editorial and UX to prioritize and deliver on key initiatives and continuously improve ways of working Manage the project portfolio, the budget and prioritize & allocate staff Confidently represent our work to customers and other external venues Coach & mentor team members and managers to function as a highly effective team About You: Basic qualifications: PhD in a relevant discipline or Master's plus a comparable level of experience 10+ years hands-on experience building AI / NLP systems for commercial applications in a cross functional setting 5+ years of management experience - coaching & developing high-performing teams Experience delivering minimum viable products in a large enterprise environment Experience with building and maintaining production ML systems on AWS You will work directly with customers as well as TR product and technology leaders to define and deliver on the Corporates Tax & Trade AI vision. Experience designing and implementing solutions with large language models, including RAG frameworks and agentic frameworks Outstanding communication and data-driven decision-making Preferred qualifications: 8+ years of management experience - coaching & developing high-performing teams Experience innovating state-of-the-art research to solve applied, real-world problems. Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD or similar conferences and venues. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on
Jul 17, 2025
Full time
The Labs Tax & Corporates team is seeking an exceptional Director to lead our applied research and discovery work in the Corporates Tax & Trade product segment. The ONESOURCE suite provides a comprehensive set of direct tax, indirect tax and trade management solutions for corporations in retail, technology, pharma and many other industries. Thomson Reuters recently launched new AI capabilities in this space, including an AI assistant as well as a capability to classify goods & products. The successful candidate will work with the team to further push the envelope of AI in Corporates Tax & Trade, keep delivering solutions that solve customer problems today and discover the art of the possible for AI in Tax & Trade. About the Role: In this opportunity as an Applied Research Director for Corporates Tax & Trade you will: Lead: You will lead a high performing team of 20+ applied scientists and research engineers, setting clear expectations, modeling expected behaviors and actively coaching. You will be a proactive communicator who is excited to share their work and even more excited to highlight the accomplishments of their team. Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will enable your team to solve complex business problems and build solutions with clearly defined outcomes. You will drive the end-to-end model development lifecycle partnering effectively with a collaborative cross-functional team. You will deliver novel features and experiences in the ONESOURCE AI Assistant and other AI product experiences in ONESOURCE Innovate: o You will be empowered to try new approaches, learn new technologies, and take informed risks with good judgement. Furthermore, you will encourage and empower your team to do the same. o You will foster innovative ideas to solve real-world challenges. You will help lead the way in growing the understanding and adoption of AI, NLP and IR across the enterprise. Key new initiatives include: The ONESOURCE Intelligent Compliance vision which aims to combine end to end compliance capabilities with market leading content, expertise and AI to help customers plan ahead and make directional tax & trade compliance decisions Have oversight on multiple large projects and initiatives across multiple key TR product lines in Corporates Tax & Trade Work directly with leaders in product management, product marketing, engineering, editorial and UX to prioritize and deliver on key initiatives and continuously improve ways of working Manage the project portfolio, the budget and prioritize & allocate staff Confidently represent our work to customers and other external venues Coach & mentor team members and managers to function as a highly effective team About You: Basic qualifications: PhD in a relevant discipline or Master's plus a comparable level of experience 10+ years hands-on experience building AI / NLP systems for commercial applications in a cross functional setting 5+ years of management experience - coaching & developing high-performing teams Experience delivering minimum viable products in a large enterprise environment Experience with building and maintaining production ML systems on AWS You will work directly with customers as well as TR product and technology leaders to define and deliver on the Corporates Tax & Trade AI vision. Experience designing and implementing solutions with large language models, including RAG frameworks and agentic frameworks Outstanding communication and data-driven decision-making Preferred qualifications: 8+ years of management experience - coaching & developing high-performing teams Experience innovating state-of-the-art research to solve applied, real-world problems. Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD or similar conferences and venues. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on
As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals • Conduct product pilots demonstrating customer obsession and innovation • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques • Act as a bridge between science and software teams to deliver optimized solutions • Communicate technical concepts to stakeholders at all levels • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics • Monitor and maintain existing solutions to ensure peak performance About the team The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team's primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience. BASIC QUALIFICATIONS - Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - Strong analytical thinking - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - Master's degree with specialization in ML, NLP or Computer Vision preferred - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: March 4, 2025 (Updated about 10 hours ago) Posted: July 1, 2025 (Updated about 12 hours ago) Posted: May 16, 2025 (Updated about 17 hours ago) Posted: May 22, 2025 (Updated about 20 hours ago) Posted: February 10, 2025 (Updated about 20 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2025
Full time
As a Research Analyst, you'll collaborate with experts to develop advance machine learning solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals • Conduct product pilots demonstrating customer obsession and innovation • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques • Act as a bridge between science and software teams to deliver optimized solutions • Communicate technical concepts to stakeholders at all levels • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics • Monitor and maintain existing solutions to ensure peak performance About the team The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality, wide selection, supply chain defects and compliance programs. The team's primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience. BASIC QUALIFICATIONS - Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - Strong analytical thinking - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - Master's degree with specialization in ML, NLP or Computer Vision preferred - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: March 4, 2025 (Updated about 10 hours ago) Posted: July 1, 2025 (Updated about 12 hours ago) Posted: May 16, 2025 (Updated about 17 hours ago) Posted: May 22, 2025 (Updated about 20 hours ago) Posted: February 10, 2025 (Updated about 20 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Join us on our mission to make a better world of work. Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day. Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world's top private cloud companies by Forbes and most innovative companies by Fast Company. For more information visit . How you can help make a better world of work We are looking for Data Scientist who would like to be part of our journey to create differentiating AI powered features in our world leading product set. This means you will get involved in defining and designing solutions for the problems we need to solve, exploring and uplifting the data quality and enrichment, as well as working on our AI tools, platforms and products. You will leverage a data science approach to product design, experimentation, metrics definition, evaluation and monitoring to prove value for our customers. Data Scientists at Culture Amp are specialists who work with others to bring their expertise and views to positively impact and support the delivery of value for our customers. You will: Work with Machine Learning engineers and other data scientists to develop, test and deploy AI powered features. Solve real world challenges with an ethical and human centric approach. Develop robust data pipelines, LLM based enrichment processes, and RAG systems. Participate in broader conversations and skills sharing with engineers, people scientists and data scientists. Stay up to date with current research, literature and provider offerings to enable the pragmatic application to Culture Amps customer needs. You have: Experience designing and building LLM powered conversational systems in a software product setting. Comfortable with SQL, preferably with an enterprise database system like Redshift, Postgres. Ideally experience with data processing tools like DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous deployment, and testing. Industry, or equivalent academic experience in researching and developing Generative AI powered Products and services. You are: Curious and have a learning mindset. A pragmatic, critical thinker, asking the right questions, and backing up assertions with logic and data. Able to make the complex simple, to persuasively communicate with a range of stakeholders. Excited about making data and AI products that have real impact in people's lives. Someone who shares our passion for making a better world of work. Not afraid to learn through making mistakes and asking for help. We believe that our employees are the heartbeat of our success. We're committed to fostering a work environment that truly cares for and develops its people, and creates lasting positive impact. In addition to providing a competitive compensation package, some of the key benefits we offer are: Employee Share Options Program: We empower you to be an owner in Culture Amp and share in our success Programs, coaching, and budgets to help you thrive personally and professionally Access to external providers for mental wellbeing and coaching support to sustain the wellbeing, safety and development of our people Monthly Camper Life Allowance: An automatic allowance paid out each month with your pay - you can spend it however you like to help improve your experience and life outside work Team budgets dedicated to team building activities and connection Intentional quarterly wellbeing pauses: A quarterly company-wide shutdown day in each region to to collectively pause, reset and focus on restoration and rest, without having to tap into individual vacation time Extended year-end breaks: An extended refresh period at the end of year Excellent parental leave and in work support program available from day 1 of joining Culture Amp 5 Social Impact Days a year to make a positive impact on the community outside of work MacBooks for you to do your best & a work from home office budget to spend on setting up your home office Medical insurance coverage for you and your family (Available for US & UK only) Additionally, we don't just focus on our internal community; we believe in creating a better world of work for all. We're committed to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We have a strong commitment to Anti-Racism, and endeavor to lead by example. Every step we make as a business towards anti-racism is another step we can take to support our customers in making a better world (of work). You can see our current commitments to Anti-Racism here . Please keep reading Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria - unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you're interested: we'd love to know how you can amplify our team with your unique experience! If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding roles in Germany). These questions are completely optional, but your participation truly helps. By sharing this anonymous information, you support our efforts to build a more inclusive and equitable hiring process-and help us hold ourselves accountable to that commitment. Your responses are entirely confidential and will not impact hiring decisions. If you require reasonable accommodations or adjustments due to a disability to complete the online application or to participate in the interview process, please contact com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Culture Amp will retain your CV & personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact .
Jul 17, 2025
Full time
Join us on our mission to make a better world of work. Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day. Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world's top private cloud companies by Forbes and most innovative companies by Fast Company. For more information visit . How you can help make a better world of work We are looking for Data Scientist who would like to be part of our journey to create differentiating AI powered features in our world leading product set. This means you will get involved in defining and designing solutions for the problems we need to solve, exploring and uplifting the data quality and enrichment, as well as working on our AI tools, platforms and products. You will leverage a data science approach to product design, experimentation, metrics definition, evaluation and monitoring to prove value for our customers. Data Scientists at Culture Amp are specialists who work with others to bring their expertise and views to positively impact and support the delivery of value for our customers. You will: Work with Machine Learning engineers and other data scientists to develop, test and deploy AI powered features. Solve real world challenges with an ethical and human centric approach. Develop robust data pipelines, LLM based enrichment processes, and RAG systems. Participate in broader conversations and skills sharing with engineers, people scientists and data scientists. Stay up to date with current research, literature and provider offerings to enable the pragmatic application to Culture Amps customer needs. You have: Experience designing and building LLM powered conversational systems in a software product setting. Comfortable with SQL, preferably with an enterprise database system like Redshift, Postgres. Ideally experience with data processing tools like DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous deployment, and testing. Industry, or equivalent academic experience in researching and developing Generative AI powered Products and services. You are: Curious and have a learning mindset. A pragmatic, critical thinker, asking the right questions, and backing up assertions with logic and data. Able to make the complex simple, to persuasively communicate with a range of stakeholders. Excited about making data and AI products that have real impact in people's lives. Someone who shares our passion for making a better world of work. Not afraid to learn through making mistakes and asking for help. We believe that our employees are the heartbeat of our success. We're committed to fostering a work environment that truly cares for and develops its people, and creates lasting positive impact. In addition to providing a competitive compensation package, some of the key benefits we offer are: Employee Share Options Program: We empower you to be an owner in Culture Amp and share in our success Programs, coaching, and budgets to help you thrive personally and professionally Access to external providers for mental wellbeing and coaching support to sustain the wellbeing, safety and development of our people Monthly Camper Life Allowance: An automatic allowance paid out each month with your pay - you can spend it however you like to help improve your experience and life outside work Team budgets dedicated to team building activities and connection Intentional quarterly wellbeing pauses: A quarterly company-wide shutdown day in each region to to collectively pause, reset and focus on restoration and rest, without having to tap into individual vacation time Extended year-end breaks: An extended refresh period at the end of year Excellent parental leave and in work support program available from day 1 of joining Culture Amp 5 Social Impact Days a year to make a positive impact on the community outside of work MacBooks for you to do your best & a work from home office budget to spend on setting up your home office Medical insurance coverage for you and your family (Available for US & UK only) Additionally, we don't just focus on our internal community; we believe in creating a better world of work for all. We're committed to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We have a strong commitment to Anti-Racism, and endeavor to lead by example. Every step we make as a business towards anti-racism is another step we can take to support our customers in making a better world (of work). You can see our current commitments to Anti-Racism here . Please keep reading Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria - unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you're interested: we'd love to know how you can amplify our team with your unique experience! If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding roles in Germany). These questions are completely optional, but your participation truly helps. By sharing this anonymous information, you support our efforts to build a more inclusive and equitable hiring process-and help us hold ourselves accountable to that commitment. Your responses are entirely confidential and will not impact hiring decisions. If you require reasonable accommodations or adjustments due to a disability to complete the online application or to participate in the interview process, please contact com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Culture Amp will retain your CV & personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact .
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jul 17, 2025
Full time
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Academic research with real industrial applications This world-class research centre is focused on delivering the science needed to advance UK capabilities in AI and Data Science for the defence and security domains. They conduct pioneering research, publishing papers and releasing proof-of-concept software and hardware systems. They are seeking a versatile scientist to join the team. They use modern machine learning / data science techniques and algorithms to solve these challenging problems. They work in a variety of areas including radar, communications, electronic warfare, and AI itself. The core of their work is developing fundamentally new approaches and taking advantage of recent breakthroughs in ML. Specific domain knowledge of the problem areas is not required, but a good general background in Physics is. Requirements: PhD in a STEM subject which has provided exposure to modern machine learning / data science techniques Strong and holistic background in Physics Confident communicator prepared to present work at academic conferences and write formal papers for publication Fluency in Python for Machine Learning development You will be working in well appointed offices in central London alongside other high achieving academics. Your work will have tangible results and part of your job will be to ensure successful transfer to industrial partners. As a highly research orientated organisation, hybrid working is the norm, with only 1-2 days per week required in the office. This is a fixed-term contract role for 18-months, but with further funding your role may be continued. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27405 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jul 17, 2025
Full time
Academic research with real industrial applications This world-class research centre is focused on delivering the science needed to advance UK capabilities in AI and Data Science for the defence and security domains. They conduct pioneering research, publishing papers and releasing proof-of-concept software and hardware systems. They are seeking a versatile scientist to join the team. They use modern machine learning / data science techniques and algorithms to solve these challenging problems. They work in a variety of areas including radar, communications, electronic warfare, and AI itself. The core of their work is developing fundamentally new approaches and taking advantage of recent breakthroughs in ML. Specific domain knowledge of the problem areas is not required, but a good general background in Physics is. Requirements: PhD in a STEM subject which has provided exposure to modern machine learning / data science techniques Strong and holistic background in Physics Confident communicator prepared to present work at academic conferences and write formal papers for publication Fluency in Python for Machine Learning development You will be working in well appointed offices in central London alongside other high achieving academics. Your work will have tangible results and part of your job will be to ensure successful transfer to industrial partners. As a highly research orientated organisation, hybrid working is the norm, with only 1-2 days per week required in the office. This is a fixed-term contract role for 18-months, but with further funding your role may be continued. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27405 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Why Harvey Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We've found product market fit and are scaling our team very quickly. Some reasons to join Harvey are: Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss , A&O Shearman , Ashurst , O'Melveny & Myers, PwC , KKR, and many others. Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI. World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Role Harvey's Strategic Business Development Leads are domain experts who apply their professional experience to help current and prospective customers understand how Harvey's AI solutions can drive transformation across tax advisory functions - from streamlining individual tasks to enabling department-wide adoption and innovation. Working alongside Account Executives, they support all aspects of our Sales and Go-To-Market strategy. We are now seeking a London-based Strategic Business Development Lead with a background in tax. The ideal candidate has hands-on experience in tax advisory or in-house tax roles, such as at a Big Four firm, a global law or tax consultancy, or a tax department at a publicly traded or large privately held company. You will bring subject-matter expertise, a strong commercial mindset, and a client-oriented approach to help our customers adopt and scale Harvey's AI solutions within their tax teams. You'll build consultative relationships with tax professionals across the industry - from global advisory firms to in-house tax departments - and become a trusted advisor on how AI can enhance research, compliance, analysis, documentation, and strategic decision-making. What You'll Do Engage with tax professionals at existing and prospective customers to understand their workflows, priorities, and strategic needs - then demonstrate how Harvey's solutions can solve for them. Guide customers through the process of integrating Harvey into their tax functions, including change management and adoption strategies for individuals and teams. Lead tailored demos that highlight Harvey's capabilities in the context of real tax workflows and use cases. Identify and prioritize high-impact opportunities to apply AI across the tax lifecycle - from compliance and reporting to structuring and planning. Collaborate with marketing on thought leadership and content tailored to the tax domain. Act as the Voice of the Customer, providing insight into tax-specific needs and user feedback to inform product development and GTM strategy. Track market trends, competitor activity, and innovation within the tax tech landscape to shape positioning and influence roadmap priorities. What You Have Based in London and eligible to work in the UK. Background in tax advisory or in-house tax roles; experience with law firms, Big Four, tax consultancies, or enterprise-level businesses. Deep understanding of tax processes, systems, and challenges, particularly in corporate tax, international tax, transfer pricing, or indirect tax. Strong communication and stakeholder engagement skills; comfortable interacting with heads of tax, CFOs, and executive teams. Experience presenting complex concepts clearly, whether through demos, workshops, or one-to-one engagements. Commercial mindset and curiosity about how AI can reshape tax and advisory services. Prior experience in a client-facing or business development role is a plus. Please find our UK applicant privacy notice here . Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!
Jul 17, 2025
Full time
Why Harvey Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We've found product market fit and are scaling our team very quickly. Some reasons to join Harvey are: Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss , A&O Shearman , Ashurst , O'Melveny & Myers, PwC , KKR, and many others. Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI. World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more. Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services. Performance: 4x ARR in 2024. Competitive compensation. Role Harvey's Strategic Business Development Leads are domain experts who apply their professional experience to help current and prospective customers understand how Harvey's AI solutions can drive transformation across tax advisory functions - from streamlining individual tasks to enabling department-wide adoption and innovation. Working alongside Account Executives, they support all aspects of our Sales and Go-To-Market strategy. We are now seeking a London-based Strategic Business Development Lead with a background in tax. The ideal candidate has hands-on experience in tax advisory or in-house tax roles, such as at a Big Four firm, a global law or tax consultancy, or a tax department at a publicly traded or large privately held company. You will bring subject-matter expertise, a strong commercial mindset, and a client-oriented approach to help our customers adopt and scale Harvey's AI solutions within their tax teams. You'll build consultative relationships with tax professionals across the industry - from global advisory firms to in-house tax departments - and become a trusted advisor on how AI can enhance research, compliance, analysis, documentation, and strategic decision-making. What You'll Do Engage with tax professionals at existing and prospective customers to understand their workflows, priorities, and strategic needs - then demonstrate how Harvey's solutions can solve for them. Guide customers through the process of integrating Harvey into their tax functions, including change management and adoption strategies for individuals and teams. Lead tailored demos that highlight Harvey's capabilities in the context of real tax workflows and use cases. Identify and prioritize high-impact opportunities to apply AI across the tax lifecycle - from compliance and reporting to structuring and planning. Collaborate with marketing on thought leadership and content tailored to the tax domain. Act as the Voice of the Customer, providing insight into tax-specific needs and user feedback to inform product development and GTM strategy. Track market trends, competitor activity, and innovation within the tax tech landscape to shape positioning and influence roadmap priorities. What You Have Based in London and eligible to work in the UK. Background in tax advisory or in-house tax roles; experience with law firms, Big Four, tax consultancies, or enterprise-level businesses. Deep understanding of tax processes, systems, and challenges, particularly in corporate tax, international tax, transfer pricing, or indirect tax. Strong communication and stakeholder engagement skills; comfortable interacting with heads of tax, CFOs, and executive teams. Experience presenting complex concepts clearly, whether through demos, workshops, or one-to-one engagements. Commercial mindset and curiosity about how AI can reshape tax and advisory services. Prior experience in a client-facing or business development role is a plus. Please find our UK applicant privacy notice here . Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are in the early innings of a generational company. Joining early at a hypergrowth startup has proven to lead to exponential growth in responsibility, access, and ability. Apply here today!
About the role: Join a mission-focused technology consultancy delivering breakthrough AI and machine learning solutions to complex, real-world problems. You will apply your curiosity, creativity, and rigour to design and deploy ML systems across diverse projects, working in multi-disciplinary teams of highly skilled scientists and engineers. In this role, you will: Research, design, and build ML models, pipelines, and systems, often in novel or resource-constrained environments. Rapidly prototype and test feasibility while moving concepts toward client-ready demonstrators and deployable products. Solve problems across the entire ML development cycle: ideation, data preparation, model development and refinement, and packaging for deployment. Collaborate across engineering and scientific domains to explore pioneering technologies and deliver impactful solutions. What they're looking for: A 2:1 or above in a relevant discipline (Physics, Maths, Engineering, Computer Science, or similar). Advanced degrees or equivalent R&D experience are highly valued. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience designing ML solutions in novel problem spaces or constrained environments (e.g., edge processing). Familiarity with a broad range of ML techniques (computer vision, generative models, audio processing, etc.), or the ability to adapt quickly to new areas. Exposure to GPU programming (e.g., CUDA) is a plus. Ability to communicate complex technical ideas clearly to colleagues and stakeholders. Client-facing experience or a willingness to engage with stakeholders and project teams is highly desirable. Why join? Work on projects that have meaningful real-world impact. Contribute ideas in a flat, collaborative environment that values openness and innovation. Access well-equipped labs and modern offices with on-site amenities. Benefit from clear opportunities for growth into project leadership or client-facing roles, supported by experienced peers. Benefits 10% employer pension contribution (+3% personal) Private medical insurance for you and your family Life insurance 25 days annual leave plus bank holidays Enhanced family leave Electric vehicle leasing & cycle-to-work scheme Access to social and sports clubs, on-site gym, and local discounts You will need to be eligible for UK security clearance for this role.
Jul 17, 2025
Full time
About the role: Join a mission-focused technology consultancy delivering breakthrough AI and machine learning solutions to complex, real-world problems. You will apply your curiosity, creativity, and rigour to design and deploy ML systems across diverse projects, working in multi-disciplinary teams of highly skilled scientists and engineers. In this role, you will: Research, design, and build ML models, pipelines, and systems, often in novel or resource-constrained environments. Rapidly prototype and test feasibility while moving concepts toward client-ready demonstrators and deployable products. Solve problems across the entire ML development cycle: ideation, data preparation, model development and refinement, and packaging for deployment. Collaborate across engineering and scientific domains to explore pioneering technologies and deliver impactful solutions. What they're looking for: A 2:1 or above in a relevant discipline (Physics, Maths, Engineering, Computer Science, or similar). Advanced degrees or equivalent R&D experience are highly valued. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience designing ML solutions in novel problem spaces or constrained environments (e.g., edge processing). Familiarity with a broad range of ML techniques (computer vision, generative models, audio processing, etc.), or the ability to adapt quickly to new areas. Exposure to GPU programming (e.g., CUDA) is a plus. Ability to communicate complex technical ideas clearly to colleagues and stakeholders. Client-facing experience or a willingness to engage with stakeholders and project teams is highly desirable. Why join? Work on projects that have meaningful real-world impact. Contribute ideas in a flat, collaborative environment that values openness and innovation. Access well-equipped labs and modern offices with on-site amenities. Benefit from clear opportunities for growth into project leadership or client-facing roles, supported by experienced peers. Benefits 10% employer pension contribution (+3% personal) Private medical insurance for you and your family Life insurance 25 days annual leave plus bank holidays Enhanced family leave Electric vehicle leasing & cycle-to-work scheme Access to social and sports clubs, on-site gym, and local discounts You will need to be eligible for UK security clearance for this role.
Research Associate in Modern Statistics, Global Health, and Conservation Ecology Jul 24, 2023 Salary Range: £43,093- £50,834 per annum Fixed Term for initially 12 Months with extension likely Start date: 1 October 2023 or soon thereafter This is an exciting opportunity to help lead an ongoing programme of methodological research to tackle pressing global health problems in collaboration with leading international organisations. The focus of this post is on the development of novel, flexible and computationally tractable spatio-temporal statistical inference tools in Bayesian Statistics and AI, and on their application in three domains. Applications range from HIV deep-sequence phylogenetics within the PANGEA-HIV consortium, to quantification and hotspot mapping of caregiver loss with the Global Reference Group for Children Affected by COVID-19 and in Crises, and species mapping and forecasting using oceanographic and climatological datasets. You will have access to some of the finest longitudinal datasets in Africa and South America. Post holders will interact with a team of leading researchers. They will receive hands-on training in machine learning and modern statistics, epidemiological, and phylogenetic techniques, and will be mentored by leading scientists, who often publish in some of the top journals of the field. Your base will be in the Department of Mathematics at Imperial College London, and you will work closely with the Machine Learning & Global Health Network (MLGH), a multi-institution research laboratory with members at Oxford, Imperial College London, University of Copenhagen, and Singapore. Post holders will be reporting directly to Dr Oliver Ratmann (Imperial), and collaborating closely with Professor Seth Flaxman (Oxford), Dr Kate Grabowski (Johns Hopkins), Dr Ettie Unwin (Bristol), Dr Adam Sykulski (Imperial), and Professor Christophe Fraser (Oxford).
Jul 17, 2025
Full time
Research Associate in Modern Statistics, Global Health, and Conservation Ecology Jul 24, 2023 Salary Range: £43,093- £50,834 per annum Fixed Term for initially 12 Months with extension likely Start date: 1 October 2023 or soon thereafter This is an exciting opportunity to help lead an ongoing programme of methodological research to tackle pressing global health problems in collaboration with leading international organisations. The focus of this post is on the development of novel, flexible and computationally tractable spatio-temporal statistical inference tools in Bayesian Statistics and AI, and on their application in three domains. Applications range from HIV deep-sequence phylogenetics within the PANGEA-HIV consortium, to quantification and hotspot mapping of caregiver loss with the Global Reference Group for Children Affected by COVID-19 and in Crises, and species mapping and forecasting using oceanographic and climatological datasets. You will have access to some of the finest longitudinal datasets in Africa and South America. Post holders will interact with a team of leading researchers. They will receive hands-on training in machine learning and modern statistics, epidemiological, and phylogenetic techniques, and will be mentored by leading scientists, who often publish in some of the top journals of the field. Your base will be in the Department of Mathematics at Imperial College London, and you will work closely with the Machine Learning & Global Health Network (MLGH), a multi-institution research laboratory with members at Oxford, Imperial College London, University of Copenhagen, and Singapore. Post holders will be reporting directly to Dr Oliver Ratmann (Imperial), and collaborating closely with Professor Seth Flaxman (Oxford), Dr Kate Grabowski (Johns Hopkins), Dr Ettie Unwin (Bristol), Dr Adam Sykulski (Imperial), and Professor Christophe Fraser (Oxford).
Sr. Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network. The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows. This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones - Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jul 17, 2025
Full time
Sr. Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network. The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows. This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones - Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Job ID: Amazon Development Center Germany GmbH The Amazon Robotics team is seeking an experienced Applied Scientist to join our team. In this role you will apply the latest trends in research to solve real-world problems in robotics and AI. You will collaborate with a team of scientists and engineers building these applications. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities • Research, design, implement and evaluate complex perception, motion planning, and decision making algorithms integrating across multiple disciplines and leveraging machine learning. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. • Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. • Represent Amazon in academia community through publications and scientific presentations. • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. We are looking for applied scientists with expertise in any of the following: - Computer vision (including but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction) - Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics) BASIC QUALIFICATIONS - PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation. - Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or journals (IJRR, IEEE TRO, JMLR). - Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design. - Expertise building and testing real-time systems. - Demonstrated experience incubating and productionizing new technology from idea generation through implementation. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2025
Full time
Job ID: Amazon Development Center Germany GmbH The Amazon Robotics team is seeking an experienced Applied Scientist to join our team. In this role you will apply the latest trends in research to solve real-world problems in robotics and AI. You will collaborate with a team of scientists and engineers building these applications. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities • Research, design, implement and evaluate complex perception, motion planning, and decision making algorithms integrating across multiple disciplines and leveraging machine learning. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. • Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. • Represent Amazon in academia community through publications and scientific presentations. • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. We are looking for applied scientists with expertise in any of the following: - Computer vision (including but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction) - Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics) BASIC QUALIFICATIONS - PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation. - Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or journals (IJRR, IEEE TRO, JMLR). - Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design. - Expertise building and testing real-time systems. - Demonstrated experience incubating and productionizing new technology from idea generation through implementation. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network. The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows. This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones - Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 3+ years experience in commercial OR tools (e.g. CPLEX, Gurobi, XPRESS) - 3+ years experience in developing OR algorithm for non-convex and non-linear optimization problems - 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting - Sharp analytical abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jul 17, 2025
Full time
Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network. The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows. This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones - Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 3+ years experience in commercial OR tools (e.g. CPLEX, Gurobi, XPRESS) - 3+ years experience in developing OR algorithm for non-convex and non-linear optimization problems - 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting - Sharp analytical abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
