51 to 75 of 294 Machine Learning Jobs in the South East

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing … advancing various machine learning models and AI systems. You will collaborat... CRWG1_UKTJ ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments. * Design, build, and deploy machine learning models within Pega-based decisioning platforms. * Lead model development across feature engineering, training, validation, and ongoing performance monitoring. * Work closely with application and logic developers to embed models into operational ...

INSIDE IR35 | Remote (occasional London travel) The Opportunity We're looking for a Technical Product Lead to help shape and mature a growing machine learning platform capability. This role is focused on moving beyond short-term delivery into a well-structured, scalable MLOps environment that can be leveraged … machine learning platform initiatives at an enterprise level Strong background in defining platform strategies, standards, and operating models Solid understanding of the ML lifecycle, including deployment, monitoring, and governance Experience working within modern cloud-based data and ML environments A background that spans product, architecture, and engineering disciplines ...

culture values curiosity, accountability and clear communication across technical and non-technical teams. The Role Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. … science roadmap, setting best practice and technical standards. Your Skills and Experience Strong commercial experience as a Data Scientist working on end-to-end machine learning projects. Deep understanding of Generative AI, large language models and their application to text generation or data synthesis. Advanced Python skills within ...

high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes. The Role You will join a blended Data Science … will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring. Key responsibilities include: Owning and delivering machine learning and AI projects from problem definition to production. Designing models from scratch across both structured and unstructured data use cases. Building ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end‐to‐end solutions … running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on‐device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write ...

fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving … forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across ...

curation, versioning, and synthetic data generation Work with distributed training systems (multi‐GPU/cloud) and integrate models into robotics pipelines Requirements PhD in ML/Robotics/Computer Vision or 2-5+ years of applied ML experience Strong background in deep learning (computer vision), state-estimation … core ML mathematics (probability theory, statistics, optimisation, etc) Proficiency in Python (required) and C++ (preferred for robotics integration) Experience with ML frameworks such as PyTorch (preferred), TensorFlow, or JAX Proven track record building production ML systems, not just research prototypes Strong software engineering fundamentals: modular design, testing, and version control ...

PEOPLE in Oxford is looking for a Machine Learning Engineer to join their innovative ML Team. In this role, you will be responsible for developing and integrating machine learning and deep learning models into real-time gaming environments, collaborating with cross-disciplinary teams, and mentoring ...

vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours of real-world and simulated driving. This role sits close … into training-ready datasets Support hand-labelled and auto-labelled data pipelines, including validation and quality control Help build and scale autolabelling systems, where ML models generate annotations across large datasets Support intelligent data curation and selection from thousands of hours of real-world and simulated driving Generate and process ...

market. The product team is ambitious and well-resourced, with a long-term roadmap and real appetite for innovation - including AI and machine learning integration. The Role You'll be the voice of the user across the product team - owning the research programmes that shape product direction … research - interviews, surveys, observational studies, and usability evaluations Translating findings into personas, journey maps, wireframes, prototypes, and user flows Designing UX for AI and machine learning-powered features, including efficacy testing and governance Running usability tests, iterating on designs based on evidence Collaborating with product managers, engineers ...

Skills PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Demonstrated research background in AI/ML, particularly in LLM or agentic AI, with either publications, preprints, or patents Excellent programming skills in Python, with experience in research‐oriented code development … version control (git) Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) Strong foundation in experimental design, statistical analysis, and model evaluation Ability to effectively communicate complex research ideas to both technical and non‐technical audiences Nice to Have Research experience in areas such ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

gaming consoles, joining the Machine Learning team. This role involves designing solutions for running machine learning models, collaborating with ML experts, and enhancing proprietary tools. A strong background in C++, multithreading, and GPU programming is required. The company fosters a balanced work-life with a holistic ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...