177 jobs found

AI Scientist / Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream's physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on device or in distributed systems with constrained connectivity. Responsibilities Design and develop machine learning algorithms for physiological signal analysis and risk detection. Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks. Develop models combining vital signs, motion data, and contextual signals. Build pipelines for sensor data processing, feature extraction, and model training. Implement algorithms suitable for real time and edge deployment. Evaluate model performance and robustness across heterogeneous datasets. Develop simulation and testing environments for algorithm validation. Contribute to the integration of models into the broader software platform. Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field. Strong experience developing machine learning models for time series or sensor data. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience building data pipelines and training workflows. Ability to work with imperfect, noisy, or incomplete datasets. Nice to Have Experience with physiological signal processing (ECG, PPG, respiration, etc.). Experience working with wearables or biosensor data. Familiarity with Bayesian modelling or probabilistic machine learning. Experience deploying models on edge devices or constrained hardware. Experience with healthtech, medical AI, or clinical datasets. What You Will Work On Physiological signal processing. Integration of probabilistic models with machine learning systems. Real time monitoring and alert systems. Deployment of models in constrained operational environments. Company Biostream Experience Senior (5+ years of experience)

Senior Scientist, Analytical Development (Chemistry) (Bedford, MA) We are looking to recruit a hands on highly talented Senior Scientist to manage the Analytical Development (AD) Chemistry team, providing onsite support and development for chemistry assays. This onsite Bedford, MA based role is an exciting opportunity to join an experienced organization whose mission is to enable our clients to deliver life changing therapies to patients. Responsibilities Lead and manage the Analytical Development Chemistry team responsible for installation of new equipment, assay development and the daily operation of HPLC, LC/MS, CE SDS, SEC and AUC development operations. Work in close collaboration with the AD Chemistry team to support client projects serving as the analytical methods expert to client teams. Lead and support the transfer, qualification, and validation of GMP analytical methods including but not limited to LC/MS, HPLC, Capillary Electrophoresis, (CE SDS), and AUC assays. Ensure AD Chemistry team members write protocols and generate reports related to QC method transfer, qualification, and validation activities. Provide training and supervision to junior scientists on assay development, instrumentation, and data interpretation. Support and monitor ongoing analytical method performance (e.g., system suitability trending, costing for new client projects) to drive continued improvement and optimization of client's analytical methods. Assist with data trending of assay controls and reference standards, as needed. Lead and support analytical method troubleshooting, as needed. Partner with internal and cross functional departments (e.g., QC and QA) to ensure on time delivery of client projects. Qualifications MS/PhD in Chemistry or related area. Over 10 years of related experience with LC/MS, HPLC, CE SDS and AUC. Proven people manager with the ability to shape teams. Strong expertise in analytical HPLC and LC/MS method development and basic troubleshooting. Independently motivated, detail oriented, and strong problem solving ability. Hands on experience in method development, qualification, validation and/or transfer. Knowledge of quality principles and GMP, ICH and GLP regulations. Experience creating/revising/reviewing operational SOPs, technical documents, protocols, and reports. Ability to work effectively in a fast paced environment. Excellent communication, technical, organizational, and interpersonal skills are essential. Ability to work effectively in a collaborative team environment where results are achieved through influence and the incorporation of multiple points of view.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager , who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Location Birmingham, London, Manchester, Reading, Leeds, Lanarkshire Overview This Senior AI Product Manager role is about unlocking the power of AI and data to drive meaningful, measurable impact across Virgin Media O . You'll own the strategy and vision for a key part of our AI and data portfolio, shaping products that solve real business problems and deliver clear value for customers and colleagues alike. Working at the intersection of technology, data science and commercial priorities, you'll play a critical role in turning ambition into outcomes. Responsibilities You'll lead products end to end, from early ideation through to launch and scaled adoption, partnering closely with data science, engineering and senior business stakeholders. Acting as the connector between technical and non technical teams, you'll translate complex needs into clear product direction, define success metrics and use insight to continuously improve performance. This is a role for someone who enjoys influence, structured problem solving and building momentum around innovative AI driven solutions. Qualifications The must haves Experience in Product Management, preferably within the AI space Proven experience building products that work closely with data science, AI or equivalent business domains Substantial experience working in cross functional teams with data science and engineering Strong ability to translate business needs into product solutions and explain technical concepts to non technical stakeholders Ability to influence without authority across a wide range of stakeholders The other stuff we are looking for Experience analysing large data sets to inform product decisions Understanding of machine learning, AI and data analytics concepts Technical confidence to engage with solution design alongside engineers and data scientists Experience supporting AI or data driven transformation initiatives Benefits We know life isn't just about work, so our benefits are built to support you in the moments that matter. You'll get Bupa healthcare, wellbeing support, life cover, a pension and generous holiday -plus your birthday off. Additional perks include optional electric vehicle lease and Cycle2Work schemes, dental insurance, neurodiversity assessments, and discounts on broadband, TV and mobile. You'll also have access to the Virgin Family platform and the O Priority app, with exclusive rewards, experiences and chances to attend events. Equal opportunity statement Virgin Media O is an equal opportunities employer and we work hard to remove bias and barriers. We want every person who joins us - and everyone thinking about joining us - to feel seen, heard and supported.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem

Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.

At Hometrack, we help the UK's leading lenders, brokers, and financial institutions make smarter decisions through property data and insights. At the heart of our evolution is Risk Hub. Currently hosting real-time property valuations and sophisticated analytical dashboards, Risk Hub is transitioning into a comprehensive, one-stop shop for all things property risk. We are looking for a Senior Product Owner to own the delivery and strategic development of this flagship platform. As the Senior Product Owner for Risk Hub, you will be the bridge between vision and execution. You'll work hand-in-hand with engineers and analysts to prioritise, scope, and deliver features that meet the complex needs of the mortgage and property risk ecosystem. This role requires a delicate balance of discovery (understanding the "why") and delivery (executing the "how"). You won't just be managing a backlog; you'll be ensuring rigorous testing and high-quality releases while deeply exploring the needs of lenders, brokers, estate agents, and investors alike. Key Responsibilities Backlog & Delivery Management: Own the end-to-end delivery backlog for Risk Hub. You'll translate customer needs into detailed, unambiguous user stories with clear acceptance criteria, managing tickets through to completion. A number of teams feed their requirements into Risk Hub, and it'll be up to you to prioritise, plan and communicate timelines internally Strategic Discovery: Balance rapid delivery with continuous discovery. You will engage with all market participants, from lenders to estate agents, to ensure Risk Hub provides holistic value. Cross-Functional Collaboration: Coordinate with software engineers, data engineers, and analysts to ensure goals are clear and milestones are met. Stakeholder Alignment: Work closely with commercial, product, and analytics teams to refine requirements, manage expectations, and provide transparent reporting on progress. Quality & Rigour: Champion best practices in digital delivery, ensuring every release is rigorously tested and balances accessibility, performance, and scalability. Strategic Input: Support the long term roadmap as Risk Hub scales into a unified interface for all property risk products. About You The Experience: Proven track record as a Product Owner, Delivery Lead, or Product Manager, ideally within Financial Services, Fintech, Proptech or Consultancy. The Mindset: You are delivery-focused and detail-oriented, with a knack for making releases smooth and predictable. Domain Interest: You have a genuine curiosity about the mortgage and property markets and want to understand the mechanics of risk. Technical Fluency: You are comfortable working alongside data scientists and engineers, able to speak their language while keeping the customer's needs front and center. Communication: You're a natural relationship-builder, capable of managing competing demands from high-level stakeholders while keeping the dev team focused. Qualities We Admire Curiosity: You don't just accept "how" things work; you want to know "why." You aren't afraid to challenge the status quo to find a better way. Adaptability: You can pivot quickly when priorities shift and think outside the box to solve blockers. Collaborative Spirit: You believe that the best products are built through partnership, not in a vacuum. Rigour: You have a high bar for quality and a commitment to rigorous testing and excellence.