Who We Are Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively. Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top tier private equity firms New Mountain Capital and Endicott Capital-a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients. This role is hybrid and based in London, with regular on site presence required 2 3 days per week. Candidates must be located within commuting distance of our London office. Why You Should Join Us Our data science team works with one of the most distinctive datasets in the food and beverage industry: deep, longitudinal operator data spanning years of menu, concept, and market behaviour across global markets. The EMEA region is a growth priority for Datassential, and this role sits at the centre of how we build and deliver intelligence for that market. You will have the rare combination of genuine domain depth to draw on, a wealth of historical data to work with, and a direct line to how your outputs reach customers through our sales intelligence platform. We are passionate about data, committed to doing the work well, and have a "we can do anything" attitude. We value work life balance, and you will be joining a team and company that wants you to grow. What We Need We are seeking a full time Data Scientist to join our EMEA team, focused on building the derivative data elements and modelled insights that power our global sales intelligence platform. You will work across a variety of existing data sources- as well as newly acquired data-applying statistical analysis and machine learning to extract signals that our customers cannot get anywhere else. This is not a research only role. You will own your models from initial design through to operationalisation, working with our data pipeline team to ensure outputs are integrated reliably into production. You will also collaborate with and provide mentorship to other data scientists on the global team, helping to raise the overall quality and consistency of modelling practices across the company. Who You Are A rigorous data scientist who is equally comfortable developing models and seeing them through to production grade outputs Energised by the challenge of building on rich longitudinal data to surface insights that genuinely change how businesses think about food and foodservice Fluent in modern ML and AI techniques-and honest about when a simpler statistical approach is the right one Curious about the foodservice industry and motivated by the idea that your models will directly inform strategic decisions for some of the world's largest food and beverage brands Comfortable working across the full modelling lifecycle: from hypothesis and feature engineering through validation, iteration, and handoff into production pipelines A collaborative partner who can communicate model logic, assumptions, and limitations clearly to non technical stakeholders Willing to mentor and share knowledge-you make the people around you better Automation and reproducibility are always front of mind What You Will Do Design, develop, and validate statistical models and machine learning solutions that generate derivative data elements and insights for the EMEA sales intelligence platform Work across diverse data sources-including operator, menu, concept, and market data-to identify signals, build features, and produce modelled outputs that enrich our core datasets Own the full modelling lifecycle: problem framing, data exploration, feature engineering, model selection, validation, iteration, and operationalisation Collaborate with the data pipeline team to integrate model outputs into production Alteryx workflows, ensuring reliable, repeatable delivery of scored and derived data Apply current ML and AI techniques appropriately-including where LLM based approaches can augment traditional modelling-while maintaining rigorous statistical standards Leverage Datassential's broad based and longitudinal foodservice dataset to build models that benefit from historical depth and evolve as new data is acquired Translate complex modelling outputs into clear, actionable insights for internal stakeholders and, where appropriate, for customer facing intelligence products Contribute to the development of reusable modelling frameworks and standards that can be applied consistently across EMEA data products Provide technical guidance to other data scientists on the team, supporting their growth in modelling rigour and best practice Collaborate with Sales, Product, and Client teams to understand the intelligence needs of EMEA customers and translate them into modelling priorities Stay current with relevant advances in ML, AI, and statistical methodology-and make grounded judgements about when new approaches are worth adopting Document model design decisions, assumptions, validation results, and known limitations in a way that supports maintainability and auditability Work with global data science colleagues to ensure EMEA modelling approaches are consistent with and complementary to the broader platform What You Bring 5+ years of experience in data science, quantitative modelling, or a closely related role, with a track record of taking models from development to production Strong proficiency in Python for data science work: data manipulation, feature engineering, model development, and validation (pandas, scikit learn, and equivalent libraries) Strong SQL skills across one or more environments Demonstrated command of statistical fundamentals: regression, classification, clustering, time series analysis, hypothesis testing, and model evaluation Hands on experience with modern ML techniques and the judgement to select the right approach for a given problem Experience operationalising models-not just building them-including handoff into production data pipelines Familiarity with LLM based approaches and where they complement or augment traditional modelling Ability to communicate model logic, assumptions, and outputs clearly to both technical and non technical audiences Experience working with longitudinal or time series datasets where historical depth is a modelling asset Minimum of BA/BS in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or equivalent); advanced degree preferred Ability to work effectively across time zones in a remote first, globally distributed team Nice to Have Domain experience in foodservice, food & beverage, hospitality, or adjacent consumer industries Experience with geospatial modelling or market level aggregation and scoring Familiarity with Alteryx or other low code ETL environments and how model outputs are integrated into pipeline based delivery Experience building or contributing to sales intelligence, lead scoring, or market segmentation products Familiarity with experiment design and A/B testing frameworks Familiarity with project management tools such as Jira/Confluence Our Table Welcomes All We embrace diversity of both background and thought and foster an inclusive environment that extends an open landscape of opportunities to everyone. We invite each of us to simply be ourselves. We operate with respect and without judgment, celebrating both the power of the individual as well as our shared humanity. If you require reasonable accommodation to complete a job application, pre employment testing, or a job interview or to otherwise participate in the hiring process, please contact .
24/06/2026
Full time
Who We Are Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively. Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top tier private equity firms New Mountain Capital and Endicott Capital-a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients. This role is hybrid and based in London, with regular on site presence required 2 3 days per week. Candidates must be located within commuting distance of our London office. Why You Should Join Us Our data science team works with one of the most distinctive datasets in the food and beverage industry: deep, longitudinal operator data spanning years of menu, concept, and market behaviour across global markets. The EMEA region is a growth priority for Datassential, and this role sits at the centre of how we build and deliver intelligence for that market. You will have the rare combination of genuine domain depth to draw on, a wealth of historical data to work with, and a direct line to how your outputs reach customers through our sales intelligence platform. We are passionate about data, committed to doing the work well, and have a "we can do anything" attitude. We value work life balance, and you will be joining a team and company that wants you to grow. What We Need We are seeking a full time Data Scientist to join our EMEA team, focused on building the derivative data elements and modelled insights that power our global sales intelligence platform. You will work across a variety of existing data sources- as well as newly acquired data-applying statistical analysis and machine learning to extract signals that our customers cannot get anywhere else. This is not a research only role. You will own your models from initial design through to operationalisation, working with our data pipeline team to ensure outputs are integrated reliably into production. You will also collaborate with and provide mentorship to other data scientists on the global team, helping to raise the overall quality and consistency of modelling practices across the company. Who You Are A rigorous data scientist who is equally comfortable developing models and seeing them through to production grade outputs Energised by the challenge of building on rich longitudinal data to surface insights that genuinely change how businesses think about food and foodservice Fluent in modern ML and AI techniques-and honest about when a simpler statistical approach is the right one Curious about the foodservice industry and motivated by the idea that your models will directly inform strategic decisions for some of the world's largest food and beverage brands Comfortable working across the full modelling lifecycle: from hypothesis and feature engineering through validation, iteration, and handoff into production pipelines A collaborative partner who can communicate model logic, assumptions, and limitations clearly to non technical stakeholders Willing to mentor and share knowledge-you make the people around you better Automation and reproducibility are always front of mind What You Will Do Design, develop, and validate statistical models and machine learning solutions that generate derivative data elements and insights for the EMEA sales intelligence platform Work across diverse data sources-including operator, menu, concept, and market data-to identify signals, build features, and produce modelled outputs that enrich our core datasets Own the full modelling lifecycle: problem framing, data exploration, feature engineering, model selection, validation, iteration, and operationalisation Collaborate with the data pipeline team to integrate model outputs into production Alteryx workflows, ensuring reliable, repeatable delivery of scored and derived data Apply current ML and AI techniques appropriately-including where LLM based approaches can augment traditional modelling-while maintaining rigorous statistical standards Leverage Datassential's broad based and longitudinal foodservice dataset to build models that benefit from historical depth and evolve as new data is acquired Translate complex modelling outputs into clear, actionable insights for internal stakeholders and, where appropriate, for customer facing intelligence products Contribute to the development of reusable modelling frameworks and standards that can be applied consistently across EMEA data products Provide technical guidance to other data scientists on the team, supporting their growth in modelling rigour and best practice Collaborate with Sales, Product, and Client teams to understand the intelligence needs of EMEA customers and translate them into modelling priorities Stay current with relevant advances in ML, AI, and statistical methodology-and make grounded judgements about when new approaches are worth adopting Document model design decisions, assumptions, validation results, and known limitations in a way that supports maintainability and auditability Work with global data science colleagues to ensure EMEA modelling approaches are consistent with and complementary to the broader platform What You Bring 5+ years of experience in data science, quantitative modelling, or a closely related role, with a track record of taking models from development to production Strong proficiency in Python for data science work: data manipulation, feature engineering, model development, and validation (pandas, scikit learn, and equivalent libraries) Strong SQL skills across one or more environments Demonstrated command of statistical fundamentals: regression, classification, clustering, time series analysis, hypothesis testing, and model evaluation Hands on experience with modern ML techniques and the judgement to select the right approach for a given problem Experience operationalising models-not just building them-including handoff into production data pipelines Familiarity with LLM based approaches and where they complement or augment traditional modelling Ability to communicate model logic, assumptions, and outputs clearly to both technical and non technical audiences Experience working with longitudinal or time series datasets where historical depth is a modelling asset Minimum of BA/BS in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or equivalent); advanced degree preferred Ability to work effectively across time zones in a remote first, globally distributed team Nice to Have Domain experience in foodservice, food & beverage, hospitality, or adjacent consumer industries Experience with geospatial modelling or market level aggregation and scoring Familiarity with Alteryx or other low code ETL environments and how model outputs are integrated into pipeline based delivery Experience building or contributing to sales intelligence, lead scoring, or market segmentation products Familiarity with experiment design and A/B testing frameworks Familiarity with project management tools such as Jira/Confluence Our Table Welcomes All We embrace diversity of both background and thought and foster an inclusive environment that extends an open landscape of opportunities to everyone. We invite each of us to simply be ourselves. We operate with respect and without judgment, celebrating both the power of the individual as well as our shared humanity. If you require reasonable accommodation to complete a job application, pre employment testing, or a job interview or to otherwise participate in the hiring process, please contact .
At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. We are looking for a researcher with a track record in successfully developing and publishing state of the art AI/ML methods, preferably with a focus on foundation models and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Responsibilities Perform and publish ML research for the evaluation and development of biomedical foundation models across various healthcare modalities, including multimodal data. Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, drug discovery, and challenging biomedical datasets. Support different teams across AIML and GSK in building ethical ML pipelines and software products. Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK's responsible AI strategy. Qualifications A PhD equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional ML research engineer experience. A track record of performing high quality ML research, evidenced by publications at major ML venues. A strong foundation in machine learning and experience with state of the art modelling approaches, especially foundation models. Proven programming expertise in Python and experience working with complex and/or multi modal datasets. Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow). Keenness to learn fast in a new domain and to develop your ML and software engineering skills. Proactive communication and problem solving skills, and proven ability to collaborate with colleagues of various backgrounds and levels of seniority. Preferred Qualifications Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Contributions to relevant open source projects. Background or interest in drug discovery, biology, medicine, or ethics. Commitment to Diversity and Inclusion GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service, or any basis prohibited under federal, state, or local law.
24/06/2026
Full time
At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. We are looking for a researcher with a track record in successfully developing and publishing state of the art AI/ML methods, preferably with a focus on foundation models and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Responsibilities Perform and publish ML research for the evaluation and development of biomedical foundation models across various healthcare modalities, including multimodal data. Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, drug discovery, and challenging biomedical datasets. Support different teams across AIML and GSK in building ethical ML pipelines and software products. Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK's responsible AI strategy. Qualifications A PhD equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional ML research engineer experience. A track record of performing high quality ML research, evidenced by publications at major ML venues. A strong foundation in machine learning and experience with state of the art modelling approaches, especially foundation models. Proven programming expertise in Python and experience working with complex and/or multi modal datasets. Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow). Keenness to learn fast in a new domain and to develop your ML and software engineering skills. Proactive communication and problem solving skills, and proven ability to collaborate with colleagues of various backgrounds and levels of seniority. Preferred Qualifications Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Contributions to relevant open source projects. Background or interest in drug discovery, biology, medicine, or ethics. Commitment to Diversity and Inclusion GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service, or any basis prohibited under federal, state, or local law.
McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
24/06/2026
Full time
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists-who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team - a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems - architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers - translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. Own and deliver significant engineering work - take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance. Write high-quality production code - build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability. Contribute to engineering standards and practices - help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment. Collaborate across AISI - work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication. Support technical direction - contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs. Mentor others through technical leadership - support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of delivering substantial technical work. Strong infrastructure and platform skills - experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: Experience working in a research environment - you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. Familiarity with computational biology tools, workflows, or datasets. Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London (Whitehall) at least 3 days/week. You should be UK-based. What We Offer Impactyou couldn't have anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI researchand adjacent sciences. Ifyou'rtalented and driven,you'llown important problems early. 5 days offand annual stipends forlearning and development, andfunding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office (cafes, food court, gym),orwhere applicable,optionto work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh,Salfordor Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-widebreaksand 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option foradditionalunpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technicalexpertisein frontier AI safety,robustnessand advanced AI architectures. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
24/06/2026
Full time
The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists-who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team - a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems - architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers - translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. Own and deliver significant engineering work - take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance. Write high-quality production code - build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability. Contribute to engineering standards and practices - help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment. Collaborate across AISI - work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication. Support technical direction - contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs. Mentor others through technical leadership - support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of delivering substantial technical work. Strong infrastructure and platform skills - experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: Experience working in a research environment - you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. Familiarity with computational biology tools, workflows, or datasets. Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London (Whitehall) at least 3 days/week. You should be UK-based. What We Offer Impactyou couldn't have anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI researchand adjacent sciences. Ifyou'rtalented and driven,you'llown important problems early. 5 days offand annual stipends forlearning and development, andfunding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office (cafes, food court, gym),orwhere applicable,optionto work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh,Salfordor Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-widebreaksand 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option foradditionalunpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technicalexpertisein frontier AI safety,robustnessand advanced AI architectures. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
23/06/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers - and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp's business. At Yelp's Lead Optimization team, we are passionate about connecting users with the service professional that matches their needs. Whether you're looking for a plumber, contractor, or an electrician, we believe that better matching and accurate pricing in Yelp's Service marketplace results in higher engagement from business owners and users, who are a critical part of what allows Yelp's business model to thrive. We are looking for an entrepreneurial, self-driven machine learning scientist who will help invent the future of optimization at Yelp. In this role, you'll hone your skills in ML techniques like GBDT, ensemble models, and embeddings while building scalable industrial systems. As a member of a collaborative team of talented software and ML engineers, you'll have a unique opportunity to drive massive impact for users, businesses and Yelp. This opportunity requires you to be located in the United Kingdom. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes. What you'll do: Identify and own challenging problems, form testable hypotheses, and drive significant business impact Lead the design and analysis of experiments or development of causal and predictive models to test your ideas Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events Productionize and automate model pipelines within Python services What it takes to succeed: Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.) Experience with predictive modeling/machine learning, forecasting, or causal inference Comfortable working in a Unix environment Sufficient software engineering skills to effectively work with software engineers. A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. £150 monthly reimbursement to help cover remote working expenses. £75 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting-free Wednesdays. Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. £75 per month to use toward qualifying wellness expenses. Quarterly team offsites. Closing Yelp values diversity. We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. Notice to Northern Ireland Applicants A Basic criminal background check viaAccessNIis required for employment. Yelp complies with the AccessNI Code of Practice. Having a criminal record will not necessarily prevent a candidate from working with Yelp. Yelp will consider the nature of the position together with the circumstances and background of the candidate's offences or other information contained on a disclosure certificate. AccessNI's Privacy Policy is availablehere. Yelp's Criminal Background Check Policy is available upon request. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
23/06/2026
Full time
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers - and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp's business. At Yelp's Lead Optimization team, we are passionate about connecting users with the service professional that matches their needs. Whether you're looking for a plumber, contractor, or an electrician, we believe that better matching and accurate pricing in Yelp's Service marketplace results in higher engagement from business owners and users, who are a critical part of what allows Yelp's business model to thrive. We are looking for an entrepreneurial, self-driven machine learning scientist who will help invent the future of optimization at Yelp. In this role, you'll hone your skills in ML techniques like GBDT, ensemble models, and embeddings while building scalable industrial systems. As a member of a collaborative team of talented software and ML engineers, you'll have a unique opportunity to drive massive impact for users, businesses and Yelp. This opportunity requires you to be located in the United Kingdom. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes. What you'll do: Identify and own challenging problems, form testable hypotheses, and drive significant business impact Lead the design and analysis of experiments or development of causal and predictive models to test your ideas Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events Productionize and automate model pipelines within Python services What it takes to succeed: Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.) Experience with predictive modeling/machine learning, forecasting, or causal inference Comfortable working in a Unix environment Sufficient software engineering skills to effectively work with software engineers. A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. £150 monthly reimbursement to help cover remote working expenses. £75 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting-free Wednesdays. Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. £75 per month to use toward qualifying wellness expenses. Quarterly team offsites. Closing Yelp values diversity. We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. Notice to Northern Ireland Applicants A Basic criminal background check viaAccessNIis required for employment. Yelp complies with the AccessNI Code of Practice. Having a criminal record will not necessarily prevent a candidate from working with Yelp. Yelp will consider the nature of the position together with the circumstances and background of the candidate's offences or other information contained on a disclosure certificate. AccessNI's Privacy Policy is availablehere. Yelp's Criminal Background Check Policy is available upon request. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy , combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards and coaching other data scientists Drive innovation and champion the use of AI and advanced analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What We're Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building data science capability and best practice Ability to communicate complex findings clearly to both technical and non-technical audiences Desirable: Experience working in agile, iterative delivery environments Understanding of user research and user needs in product development What Makes This Role Stand Out Opportunity to lead and shape AI and data science strategy Combination of hands-on delivery and technical leadership Focus on delivering real-world impact through data Work across a variety of complex, high-value problem spaces Key Skills Advanced statistical analysis and modelling Data engineering collaboration and data lifecycle understanding Storytelling with data and visualisation Data ethics, privacy, and governance awareness Stakeholder engagement and influencing Product thinking and delivery What You'll Deliver High-quality AI models and analytical solutions Insightful dashboards, reports, and visualisations Scalable and reusable data science products Established standards, practices, and capability improvements Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
23/06/2026
Contractor
Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy , combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards and coaching other data scientists Drive innovation and champion the use of AI and advanced analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What We're Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building data science capability and best practice Ability to communicate complex findings clearly to both technical and non-technical audiences Desirable: Experience working in agile, iterative delivery environments Understanding of user research and user needs in product development What Makes This Role Stand Out Opportunity to lead and shape AI and data science strategy Combination of hands-on delivery and technical leadership Focus on delivering real-world impact through data Work across a variety of complex, high-value problem spaces Key Skills Advanced statistical analysis and modelling Data engineering collaboration and data lifecycle understanding Storytelling with data and visualisation Data ethics, privacy, and governance awareness Stakeholder engagement and influencing Product thinking and delivery What You'll Deliver High-quality AI models and analytical solutions Insightful dashboards, reports, and visualisations Scalable and reusable data science products Established standards, practices, and capability improvements Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an opportunity to work with a market leading business to explore new opportunities for us and influence global retailers and suppliers. Joining our team, you'll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights. What You'll Be Doing Create new science based solutions that can be captured as science modules and applied across clients, with support from senior team members. Pick up new machine learning approaches, such as regularised regression, clustering or tree based ensembles, graph based approaches, natural language processing and neural network techniques and apply them on client data. Perform exploratory data analysis to characterise and visualise datasets Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules. Help identify new opportunities within the Data Science space for future dunnhumby solutions. Implement advice from colleagues to resolve challenges. Follow Quality Assurance processes, ways of working and meet coding standards. Ensure smooth running of your projects, working with senior team members for direction. Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication. Who You'll Get To Work With Within dunnhumby you'll primarily work with Applied and Research Data Scientist teams Data Science Engineering teams Product and Client teams where required What You'll Need Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression, clustering or tree based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL Experience with or ability to quickly learn open source software including machine learning packages, such as Pandas and scikit learn, along with data visualisation technologies. A willingness to present your work to both technical and non technical audience and to contribute to the wider data science community. A Plus If You Also Have PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience in retail sector What You Can Expect From Us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting edge technology that reflects our global ambition. But with a nimble, small business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
23/06/2026
Full time
hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's world class science capabilities. It's an opportunity to work with a market leading business to explore new opportunities for us and influence global retailers and suppliers. Joining our team, you'll work with world class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders and will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will be focussed across insight automation and product assortment, with applications of science including identifying new and growing product needs, optimising the mix of products, predicting the impact of changes, product attribute generation and applications of generative AI for product support and insights. What You'll Be Doing Create new science based solutions that can be captured as science modules and applied across clients, with support from senior team members. Pick up new machine learning approaches, such as regularised regression, clustering or tree based ensembles, graph based approaches, natural language processing and neural network techniques and apply them on client data. Perform exploratory data analysis to characterise and visualise datasets Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules. Help identify new opportunities within the Data Science space for future dunnhumby solutions. Implement advice from colleagues to resolve challenges. Follow Quality Assurance processes, ways of working and meet coding standards. Ensure smooth running of your projects, working with senior team members for direction. Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication. Who You'll Get To Work With Within dunnhumby you'll primarily work with Applied and Research Data Scientist teams Data Science Engineering teams Product and Client teams where required What You'll Need Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression, clustering or tree based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL Experience with or ability to quickly learn open source software including machine learning packages, such as Pandas and scikit learn, along with data visualisation technologies. A willingness to present your work to both technical and non technical audience and to contribute to the wider data science community. A Plus If You Also Have PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience in retail sector What You Can Expect From Us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting edge technology that reflects our global ambition. But with a nimble, small business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data driven decision support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day to day operational decision making across the airline. What you'll do Develop and embed industrialised decision support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production grade data science product Understand operational business problems end to end and identify opportunities to optimise decisions using decision support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways Experience solving real world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non technical audiences Systems thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialised software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
23/06/2026
Full time
Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data driven decision support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day to day operational decision making across the airline. What you'll do Develop and embed industrialised decision support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production grade data science product Understand operational business problems end to end and identify opportunities to optimise decisions using decision support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways Experience solving real world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non technical audiences Systems thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialised software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Senior Machine Learning Scientist - Advanced AI & Automation page is loaded Senior Machine Learning Scientist - Advanced AI & Automationlocations: Royston: Home Office United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R38797Join our Corporate Research team as a Senior Machine Learning Scientist.We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI - driven automaton for next - generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. This role requires expertise in Large Language Models (LLMs), Vision - Language Models (VLMs) and multi - agent systems to orchestrate complex, robotics - driven end - to - end experimental and manufacturing workflows.Working with Sartorius you will have unique access to large scale, high quality biological and process data across different bioanalytics and bioprocess modalities, from live - cell imaging to bioreactor operations and lab instrumentation telemetry. You will also contribute to our collaboration with NVIDIA, using advanced AI computing platforms to accelerate the development of smarter, more autonomous research and manufacturing solutions.You will join a very talented interdisciplinary and global data science team in Corporate Research that develops AI and advanced analytics solutions that "moves the needle" in what is currently possible. You are driven by curiosity and problem solving, and your personal initiative will translate into innovations that simplify progress for our customers, from early-stage drug discovery to the production of biologics that treat life - threatening and chronic diseases.This position is available full-time, with opportunity to be based remotely in the UK, with required travel regularly Sartorius relevant sites eg.: Royston near Cambridge. Grow with us - Your Responsibilities You will design and deploy AI - driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors Develop and optimize architectures leveraging LLMs and VLMs for multimodal perception, control and exception - handling in automated laboratory and manufacturing workflows Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed-loop experimentation, process optimization and autonomous lab operations. Apply graph-based and sequential models to represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness. Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius' digital and bioprocessing ecosystem. Collaborate closely with robotics, software, process engineering and product teams to translate user needs into robust, production-grade AI and automation capabilities What will convince us Master's or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines Experience with LLMs (e.g.: GPT, LLaMA) and VLMs (e.g.: CLIP, Flamingo) applied to perception, workflow guidance or automation use cases Hands on experience with multi - agent systems and orchestration frameworks or robotics middleware (e.g.: ROS, OPC UA, message queues) Practical experience with robotics, lab automation, industrial automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus Proficiency in Python and deep learning frameworks such as PyTorch or Tensorflow Basic knowledge of graph theory, planning or reinforcement learning and their application to decision - making in complex systems Understanding of distributed systems, APIs and cloud - based deployment of AI and automation services Ability to communicate complex technical concepts to interdisciplinary teams and non - experts You describe yourself as a conceptual and creative thinker with excellent organizational and communication skills (both written and verbal) You have the ability to work collaboratively with colleagues within a large, matrix - based organizationIn order to commence working with us, the successful candidate will have the right to work in the UK. What we offer As a growing global life science company, stock listed on the German TecDAX, Sartorius offers a wide range of benefits: Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings Work-life Balance: Remote options, flexible work schedules Making an impact right from the start: Comprehensive onboarding, including a virtual online platform - even before joining Welcoming Culture: Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network Health & Well-Being : Wide section of health and well-being support such as healthcare plans and health assessment services Royston Benefits Attractive Working Conditions: 37.5 hours working week 25 days annual leave, plus public holidays Free parking on site Annual option to buy, sell or carry forward annual leave Free hot and cold drinks Regular social events and free exercise classes Competitive benefits package, including: + Group Personal Pension Plan + Private Medical Insurance + Private Dental Insurance + Group Life Assurance + Group Income Protection + Cycle to work scheme About Sartorius Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.Join our global team and become part of the solution. We are looking forward to receiving your application.
23/06/2026
Full time
Senior Machine Learning Scientist - Advanced AI & Automation page is loaded Senior Machine Learning Scientist - Advanced AI & Automationlocations: Royston: Home Office United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R38797Join our Corporate Research team as a Senior Machine Learning Scientist.We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI - driven automaton for next - generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. This role requires expertise in Large Language Models (LLMs), Vision - Language Models (VLMs) and multi - agent systems to orchestrate complex, robotics - driven end - to - end experimental and manufacturing workflows.Working with Sartorius you will have unique access to large scale, high quality biological and process data across different bioanalytics and bioprocess modalities, from live - cell imaging to bioreactor operations and lab instrumentation telemetry. You will also contribute to our collaboration with NVIDIA, using advanced AI computing platforms to accelerate the development of smarter, more autonomous research and manufacturing solutions.You will join a very talented interdisciplinary and global data science team in Corporate Research that develops AI and advanced analytics solutions that "moves the needle" in what is currently possible. You are driven by curiosity and problem solving, and your personal initiative will translate into innovations that simplify progress for our customers, from early-stage drug discovery to the production of biologics that treat life - threatening and chronic diseases.This position is available full-time, with opportunity to be based remotely in the UK, with required travel regularly Sartorius relevant sites eg.: Royston near Cambridge. Grow with us - Your Responsibilities You will design and deploy AI - driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors Develop and optimize architectures leveraging LLMs and VLMs for multimodal perception, control and exception - handling in automated laboratory and manufacturing workflows Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed-loop experimentation, process optimization and autonomous lab operations. Apply graph-based and sequential models to represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness. Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius' digital and bioprocessing ecosystem. Collaborate closely with robotics, software, process engineering and product teams to translate user needs into robust, production-grade AI and automation capabilities What will convince us Master's or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines Experience with LLMs (e.g.: GPT, LLaMA) and VLMs (e.g.: CLIP, Flamingo) applied to perception, workflow guidance or automation use cases Hands on experience with multi - agent systems and orchestration frameworks or robotics middleware (e.g.: ROS, OPC UA, message queues) Practical experience with robotics, lab automation, industrial automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus Proficiency in Python and deep learning frameworks such as PyTorch or Tensorflow Basic knowledge of graph theory, planning or reinforcement learning and their application to decision - making in complex systems Understanding of distributed systems, APIs and cloud - based deployment of AI and automation services Ability to communicate complex technical concepts to interdisciplinary teams and non - experts You describe yourself as a conceptual and creative thinker with excellent organizational and communication skills (both written and verbal) You have the ability to work collaboratively with colleagues within a large, matrix - based organizationIn order to commence working with us, the successful candidate will have the right to work in the UK. What we offer As a growing global life science company, stock listed on the German TecDAX, Sartorius offers a wide range of benefits: Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings Work-life Balance: Remote options, flexible work schedules Making an impact right from the start: Comprehensive onboarding, including a virtual online platform - even before joining Welcoming Culture: Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network Health & Well-Being : Wide section of health and well-being support such as healthcare plans and health assessment services Royston Benefits Attractive Working Conditions: 37.5 hours working week 25 days annual leave, plus public holidays Free parking on site Annual option to buy, sell or carry forward annual leave Free hot and cold drinks Regular social events and free exercise classes Competitive benefits package, including: + Group Personal Pension Plan + Private Medical Insurance + Private Dental Insurance + Group Life Assurance + Group Income Protection + Cycle to work scheme About Sartorius Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.Join our global team and become part of the solution. We are looking forward to receiving your application.
Yelp, Inc is seeking a Machine Learning Scientist in Greater London to drive optimization and meaningful insights for its services. The ideal candidate will work with large datasets and collaborate with cross-functional teams to deliver impactful solutions in a fun and dynamic environment. The role involves utilizing ML techniques such as GBDT, and engaging in original research while bringing business solutions to life. Flexible hours, competitive salary, and numerous perks are offered, all aimed at supporting career growth.
23/06/2026
Full time
Yelp, Inc is seeking a Machine Learning Scientist in Greater London to drive optimization and meaningful insights for its services. The ideal candidate will work with large datasets and collaborate with cross-functional teams to deliver impactful solutions in a fun and dynamic environment. The role involves utilizing ML techniques such as GBDT, and engaging in original research while bringing business solutions to life. Flexible hours, competitive salary, and numerous perks are offered, all aimed at supporting career growth.
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
23/06/2026
Full time
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
22/06/2026
Full time
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Senior Data Scientist Join a high-performing data science team at the core of a £3.5bn fintech leader. You will own the end-to-end development of proprietary machine learning models that power real-rate, risk-based pricing for US loans and credit cards. This role offers full autonomy to build, deploy, and monitor models using state-of-the-art ML techniques. Company Description Lendable.co.uk - VC-backed fintech unicorn backed by Goldman Sachs Location: London, UK Why this role is remarkable Work at the heart of a profitable unicorn valued at £3.5bn, backed by premier investors like Goldman Sachs, Balderton, and Ontario Teachers' Pension Plan. Benefit from a culture of full model ownership, moving beyond research to ship production-level ML models that directly drive the company's core competitive advantage. Enjoy premium perks including equity, hybrid flexibility, and fresh gourmet lunches prepared by in-house chefs three days a week in a central London office. What you will do Design, build, and deploy sophisticated credit risk and underwriting models for the US market using Python and experiment tracking tools like MLFlow. Extract, clean, and transform complex datasets from various sources, including global Credit Bureau data, to improve model accuracy and operational efficiency. Lead cross-functional initiatives and mentor junior data scientists, translating complex business challenges into actionable data science solutions for senior stakeholders. The ideal candidate Proven experience building and shipping commercial machine learning models in production environments, ideally within credit, lending, or financial services. High proficiency in Python and the modern ML stack, with a strong grasp of the trade-offs between different machine learning architectures and algorithms. Excellent communication skills with the ability to lead projects independently and explain sophisticated technical concepts to non-technical business partners. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
22/06/2026
Full time
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Senior Data Scientist Join a high-performing data science team at the core of a £3.5bn fintech leader. You will own the end-to-end development of proprietary machine learning models that power real-rate, risk-based pricing for US loans and credit cards. This role offers full autonomy to build, deploy, and monitor models using state-of-the-art ML techniques. Company Description Lendable.co.uk - VC-backed fintech unicorn backed by Goldman Sachs Location: London, UK Why this role is remarkable Work at the heart of a profitable unicorn valued at £3.5bn, backed by premier investors like Goldman Sachs, Balderton, and Ontario Teachers' Pension Plan. Benefit from a culture of full model ownership, moving beyond research to ship production-level ML models that directly drive the company's core competitive advantage. Enjoy premium perks including equity, hybrid flexibility, and fresh gourmet lunches prepared by in-house chefs three days a week in a central London office. What you will do Design, build, and deploy sophisticated credit risk and underwriting models for the US market using Python and experiment tracking tools like MLFlow. Extract, clean, and transform complex datasets from various sources, including global Credit Bureau data, to improve model accuracy and operational efficiency. Lead cross-functional initiatives and mentor junior data scientists, translating complex business challenges into actionable data science solutions for senior stakeholders. The ideal candidate Proven experience building and shipping commercial machine learning models in production environments, ideally within credit, lending, or financial services. High proficiency in Python and the modern ML stack, with a strong grasp of the trade-offs between different machine learning architectures and algorithms. Excellent communication skills with the ability to lead projects independently and explain sophisticated technical concepts to non-technical business partners. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Work with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Be pragmatic, but innovate to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3 5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
21/06/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Work with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Be pragmatic, but innovate to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3 5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Salary: £34,000 - 69,000 per year Requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras Experience implementing machine learning and large language models, including deployment, monitoring, and retraining Familiarity with software engineering guidelines, including version control, Git, CI/CD, containerisation, Docker, and workflow orchestration Knowledge of cloud platforms and scalable compute environments, with Azure preferred Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context Ability to align machine learning initiatives with business objectives in a scientific or regulated environment Responsibilities: Design, build, and maintain resilient Machine Learning Operations pipelines that support the complete lifecycle of AI models, from creation to implementation and supervision Ensure the successful deployment of machine learning and large language models in practical operational settings, transforming research findings into functional business tools Support the development and evaluation of ML models, including both standard machine learning and neural network-focused models, as requested by R&D teams Develop standardised, reusable workflows that can be applied across different projects and scientific areas Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions Develop automated reporting systems that make results from AI models easier to interpret, share, and act on Technologies: AI Azure CI/CD Cloud DevOps Docker Git Support Keras Machine Learning Network Python Security TensorFlow More: We are a full-time R&D-focused team based in East Molesey, England, United Kingdom, seeking an experienced Senior MLOps Engineer to bridge machine learning engineering with applied data science. We work closely with scientific and operational teams to improve the robustness, scalability, and reliability of AI tools, while driving automation and standardisation across the ML lifecycle to enable faster, data-informed decision-making and innovation. This role offers the opportunity to contribute significantly to the development, deployment, and advancement of machine learning and AI systems in a scientific and regulated environment.
21/06/2026
Full time
Salary: £34,000 - 69,000 per year Requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras Experience implementing machine learning and large language models, including deployment, monitoring, and retraining Familiarity with software engineering guidelines, including version control, Git, CI/CD, containerisation, Docker, and workflow orchestration Knowledge of cloud platforms and scalable compute environments, with Azure preferred Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context Ability to align machine learning initiatives with business objectives in a scientific or regulated environment Responsibilities: Design, build, and maintain resilient Machine Learning Operations pipelines that support the complete lifecycle of AI models, from creation to implementation and supervision Ensure the successful deployment of machine learning and large language models in practical operational settings, transforming research findings into functional business tools Support the development and evaluation of ML models, including both standard machine learning and neural network-focused models, as requested by R&D teams Develop standardised, reusable workflows that can be applied across different projects and scientific areas Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions Develop automated reporting systems that make results from AI models easier to interpret, share, and act on Technologies: AI Azure CI/CD Cloud DevOps Docker Git Support Keras Machine Learning Network Python Security TensorFlow More: We are a full-time R&D-focused team based in East Molesey, England, United Kingdom, seeking an experienced Senior MLOps Engineer to bridge machine learning engineering with applied data science. We work closely with scientific and operational teams to improve the robustness, scalability, and reliability of AI tools, while driving automation and standardisation across the ML lifecycle to enable faster, data-informed decision-making and innovation. This role offers the opportunity to contribute significantly to the development, deployment, and advancement of machine learning and AI systems in a scientific and regulated environment.
Salary: £43,000 - 72,000 per year Requirements We require a degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline. We require strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch. We require proven experience delivering machine learning solutions within commercial, research or government environments. We require a strong understanding of modern AI/ML techniques across Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. We require experience training, fine tuning and evaluating machine learning and AI models. We require the ability to undertake technical research and apply findings to real world challenges. We require experience producing high quality technical documentation, reports or research publications. We require previous experience mentoring team members and providing technical leadership. We require an active eDV (enhanced DV) UK Security Clearance. We prefer an MSc or PhD with a strong research background. We prefer experience developing and maintaining robust ML pipelines and MLOps practices. We prefer familiarity with version control, containerisation and environment management tools, including Git and Docker. We prefer experience working within Linux environments and using command line tooling. We prefer experience deploying and scaling AI/ML solutions into production environments. We prefer cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable. We prefer published research in peer reviewed journals or conferences. We prefer experience writing technical proposals, bids or research funding submissions. Responsibilities We design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy. We lead technical investigations, research activities and AI/ML development across customer and internal projects. We identify innovative approaches to solving complex technical challenges and contribute to future research directions. We provide technical leadership within project teams and support successful project delivery. We collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions. We mentor and support junior team members, helping to develop technical capability across the wider team. We communicate complex technical concepts clearly to both technical and non technical audiences. Technologies AI AWS Azure Cloud Computer Vision Docker GCP Git Support Linux Machine Learning PyTorch Python Security TensorFlow More We are a leading National Security and Cyber organisation developing advanced AI and machine learning solutions that support critical national security missions. We work within a mature Agile environment and collaborate closely with customers, engineers, researchers and data scientists on complex real world challenges. This role can be based in Gloucester, Manchester or London, with hybrid working typically three days per week on site. We offer opportunities at Associate, Senior and Principal levels, a collaborative environment with experienced specialists, and strong opportunities for technical development, leadership and career progression. Our benefits include a competitive salary, eDV bonus on top of salary, annual bonus, company bonus scheme, contributory pension scheme with up to 10.5% company contribution, life assurance at six times salary, and 25 days holiday plus public holidays, with the option to buy and sell up to five days.
21/06/2026
Full time
Salary: £43,000 - 72,000 per year Requirements We require a degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline. We require strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch. We require proven experience delivering machine learning solutions within commercial, research or government environments. We require a strong understanding of modern AI/ML techniques across Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. We require experience training, fine tuning and evaluating machine learning and AI models. We require the ability to undertake technical research and apply findings to real world challenges. We require experience producing high quality technical documentation, reports or research publications. We require previous experience mentoring team members and providing technical leadership. We require an active eDV (enhanced DV) UK Security Clearance. We prefer an MSc or PhD with a strong research background. We prefer experience developing and maintaining robust ML pipelines and MLOps practices. We prefer familiarity with version control, containerisation and environment management tools, including Git and Docker. We prefer experience working within Linux environments and using command line tooling. We prefer experience deploying and scaling AI/ML solutions into production environments. We prefer cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable. We prefer published research in peer reviewed journals or conferences. We prefer experience writing technical proposals, bids or research funding submissions. Responsibilities We design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy. We lead technical investigations, research activities and AI/ML development across customer and internal projects. We identify innovative approaches to solving complex technical challenges and contribute to future research directions. We provide technical leadership within project teams and support successful project delivery. We collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions. We mentor and support junior team members, helping to develop technical capability across the wider team. We communicate complex technical concepts clearly to both technical and non technical audiences. Technologies AI AWS Azure Cloud Computer Vision Docker GCP Git Support Linux Machine Learning PyTorch Python Security TensorFlow More We are a leading National Security and Cyber organisation developing advanced AI and machine learning solutions that support critical national security missions. We work within a mature Agile environment and collaborate closely with customers, engineers, researchers and data scientists on complex real world challenges. This role can be based in Gloucester, Manchester or London, with hybrid working typically three days per week on site. We offer opportunities at Associate, Senior and Principal levels, a collaborative environment with experienced specialists, and strong opportunities for technical development, leadership and career progression. Our benefits include a competitive salary, eDV bonus on top of salary, annual bonus, company bonus scheme, contributory pension scheme with up to 10.5% company contribution, life assurance at six times salary, and 25 days holiday plus public holidays, with the option to buy and sell up to five days.
Join the ServisBOT Team If you must spend 40 hours a week working, you want to make sure you're working with pretty fantastic people doing some pretty amazing things. That's why at ServisBOT we seek team players that are self starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. AI Solutions Business Analyst Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in person meetings Salary: Competitive, based on experience Type: This is a full time, permanent contract on the customer success team If interested, send a cover letter and CV to: About the role We're looking for a practical, customer focused and AI curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You'll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You'll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast growing area of AI agents. What you'll do You'll work as part of a team to: Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points. Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria. Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity. Map current state and future state processes, highlighting where automation, AI assistance or human handoff should occur. Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures. Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly. Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents. Support customer workshops, demos, playback sessions and feedback reviews. Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes. Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns. Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience. Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements. Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer facing summaries. Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators. Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. What makes this role different from a traditional BA role A traditional BA might document what a customer asks for. In this role, you'll need to help customers work out what they actually need. You'll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human in the loop approach is more appropriate. You'll be expected to think about: How an AI agent should behave in real customer scenarios. What information the agent needs to answer accurately. What the agent should not do. When the agent should escalate to a human. How to test whether the agent is performing well. How to design workflows that are useful, safe and maintainable. How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. What we're looking for We're looking for someone with solid experience in business analysis, solution delivery or customer facing technology projects. You should be: Experienced in gathering, analysing and documenting business requirements. Confident running customer workshops and asking structured, thoughtful questions. Good at breaking down complex or messy processes into clear workflows. Able to distinguish between business needs, user needs, technical constraints and product gaps. Comfortable working with technical and non technical stakeholders. Strong at writing clear documentation, user stories, acceptance criteria and process maps. Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes. Practical and outcome focused, with good judgement about what will actually work. Comfortable challenging assumptions and helping customers prioritise. Able to work closely with delivery, product and engineering teams. Strong at spotting ambiguity, risk, edge cases and gaps in requirements. Interested in customer experience, service design, digital transformation and operational improvement. Comfortable testing AI agent behaviour and reviewing outputs critically. Organised, reliable and able to manage multiple customer or project workstreams. Useful skills or experience You do not need all of these, but any of the following would be helpful: Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst. Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms. Experience working with Product and Engineering teams in an agile delivery environment. Experience supporting UAT, customer testing, implementation or go live readiness. Familiarity with knowledge bases, FAQs, help centres, content design or service design. Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements and avoids solution thinking. We're more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. What success looks like In your first few months, you'll be able to: Understand how ServisBOT designs, builds and delivers AI agent solutions. Lead customer discovery sessions with support from senior team members. Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria. Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios. Identify gaps, risks, edge cases and dependencies early. Support demos, playbacks and customer feedback sessions. Help customers understand what AI agents can and cannot realistically do. Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you'll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. Why join us? This is a chance to apply strong business analysis and solution design skills to one of the fastest growing areas of technology: practical AI agents for real businesses. You'll work on real customer problems, not theoretical AI experiments. You'll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You'll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour . click apply for full job details
21/06/2026
Full time
Join the ServisBOT Team If you must spend 40 hours a week working, you want to make sure you're working with pretty fantastic people doing some pretty amazing things. That's why at ServisBOT we seek team players that are self starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. AI Solutions Business Analyst Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in person meetings Salary: Competitive, based on experience Type: This is a full time, permanent contract on the customer success team If interested, send a cover letter and CV to: About the role We're looking for a practical, customer focused and AI curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You'll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You'll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast growing area of AI agents. What you'll do You'll work as part of a team to: Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points. Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria. Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity. Map current state and future state processes, highlighting where automation, AI assistance or human handoff should occur. Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures. Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly. Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents. Support customer workshops, demos, playback sessions and feedback reviews. Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes. Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns. Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience. Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements. Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer facing summaries. Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators. Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. What makes this role different from a traditional BA role A traditional BA might document what a customer asks for. In this role, you'll need to help customers work out what they actually need. You'll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human in the loop approach is more appropriate. You'll be expected to think about: How an AI agent should behave in real customer scenarios. What information the agent needs to answer accurately. What the agent should not do. When the agent should escalate to a human. How to test whether the agent is performing well. How to design workflows that are useful, safe and maintainable. How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. What we're looking for We're looking for someone with solid experience in business analysis, solution delivery or customer facing technology projects. You should be: Experienced in gathering, analysing and documenting business requirements. Confident running customer workshops and asking structured, thoughtful questions. Good at breaking down complex or messy processes into clear workflows. Able to distinguish between business needs, user needs, technical constraints and product gaps. Comfortable working with technical and non technical stakeholders. Strong at writing clear documentation, user stories, acceptance criteria and process maps. Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes. Practical and outcome focused, with good judgement about what will actually work. Comfortable challenging assumptions and helping customers prioritise. Able to work closely with delivery, product and engineering teams. Strong at spotting ambiguity, risk, edge cases and gaps in requirements. Interested in customer experience, service design, digital transformation and operational improvement. Comfortable testing AI agent behaviour and reviewing outputs critically. Organised, reliable and able to manage multiple customer or project workstreams. Useful skills or experience You do not need all of these, but any of the following would be helpful: Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst. Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms. Experience working with Product and Engineering teams in an agile delivery environment. Experience supporting UAT, customer testing, implementation or go live readiness. Familiarity with knowledge bases, FAQs, help centres, content design or service design. Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements and avoids solution thinking. We're more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. What success looks like In your first few months, you'll be able to: Understand how ServisBOT designs, builds and delivers AI agent solutions. Lead customer discovery sessions with support from senior team members. Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria. Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios. Identify gaps, risks, edge cases and dependencies early. Support demos, playbacks and customer feedback sessions. Help customers understand what AI agents can and cannot realistically do. Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you'll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. Why join us? This is a chance to apply strong business analysis and solution design skills to one of the fastest growing areas of technology: practical AI agents for real businesses. You'll work on real customer problems, not theoretical AI experiments. You'll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You'll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour . click apply for full job details
Depop is looking for a Senior Machine Learning Scientist to join their Search & Ranking team in the UK. The role involves researching and delivering machine learning solutions for search and discovery challenges, including personalized search results and pricing models. Candidates should have significant experience in Data Science, proficiency in Python, and a passion for collaborating with multidisciplinary teams. The position offers flexible working options and comprehensive health and well-being perks.
21/06/2026
Full time
Depop is looking for a Senior Machine Learning Scientist to join their Search & Ranking team in the UK. The role involves researching and delivering machine learning solutions for search and discovery challenges, including personalized search results and pricing models. Candidates should have significant experience in Data Science, proficiency in Python, and a passion for collaborating with multidisciplinary teams. The position offers flexible working options and comprehensive health and well-being perks.
