4,976 to 5,000 of 6,615 Machine Learning Jobs in the UK

datasets to guide our embodied AI roadmap. What We're Looking For Exceptional software engineering skills with a proven track record of shipping complex ML systems into production. Strong background in 3D scene understanding and the design of efficient spatial data structures. Deep experience in machine learning … with large models (VLMs, transformers, or multi-modal architectures). Proficiency in PyTorch and hands‐on experience building, fine‐tuning, and deploying large‐scale ML systems. High‐impact individual contributor capable of taking projects from conceptual research to high‐performance robot code. Comfortable working in a fast‐moving, research‐driven ...

exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models … Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models ...

exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models … Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models ...

Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research … augmentations, and/or reasoning about data mixtures and ablations. A hands‐on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow ...

extraordinary developer experience across command-line tools, Python, Jupyter notebooks, IDEs, CI and AI coding agents.Help developers use Arm's tooling within familiar ML frameworks including PyTorch.Prioritize capabilities that increase model compatibility with Arm accelerators, ensuring that developers can benefit during pre-or-post Silicon.Turn UX research, product and market … data into roadmap decisions.Incorporate groundbreaking approaches to agentic model optimization, including safe and reproducible automation.Develop partnerships with ML frameworks, runtime providers, silicon partners and accelerator vendors.Required Skills and Experience :Are you motivated by translating technical challenges into clear product decisions? If you are comfortable discussing model formats, quantization, graph partitioning ...

extraordinary developer experience across command-line tools, Python, Jupyter notebooks, IDEs, CI and AI coding agents. Help developers use Arm's tooling within familiar ML frameworks including PyTorch. Prioritize capabilities that increase model compatibility with Arm accelerators, ensuring that developers can benefit during pre-or-post Silicon. Turn UX research … product and market data into roadmap decisions. Incorporate groundbreaking approaches to agentic model optimization, including safe and reproducible automation. Develop partnerships with ML frameworks, runtime providers, silicon partners and accelerator vendors. Required Skills and Experience : Are you motivated by translating technical challenges into clear product decisions? If you are comfortable ...

exceptions with industry experience Specific Skills Background and/or previous work in AI systems research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX … Runtime, Core ML, TensorRT, etc.). Skills That Will Set You Apart from the Competition Open source projects on mobile/desktop systems optimization Experience with confidential computing and security/privacy protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … fault detection and fallback systems for driverless operation. You will work alongside machine learning experts to build robust systems, and do some ML yourself. Physical AI is not just a learning problem; deployment in the real-world requires deep systems understanding of robotics. The Core Model Safety ...

leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts ...

more of the following areas: Exploit development. Secure software development. Vulnerability research skills. Machine Learning model development and understanding of the ML eco-system. Familiarity with vulnerability research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist and non-specialist audiences. Location & Clearance This role will be based from Romsey, with an opportunity to visit our client sites ...

integrates innovation, strategic direction, and technical proficiency At LGC, we seek an experienced and visionary AI Delivery Lead to direct our artificial intelligence and machine learning projects toward achievement! This exciting opportunity offers you the chance to lead diverse teams, be responsible for collaborator expectations, and transform sophisticated … building and developing high-performing teams.Excellent collaborator management and interpersonal skills, with the ability to engage at all interpersonal levels.Technical understanding of AI/ML concepts, tools, and implementation challenges.Experience in budget management, resource planning, and cost control.Analytical approach with strong problem-solving capabilities and attention to detail.Proficiency in risk ...

next generation of silicon and toolchain. The ideal candidate You’re a software engineer with either prior experience of compiler or AI/ML toolchain development, or the ability (and strong desire) to learn about it on – the – job. Key skills and qualifications Required: Deep understanding of tools and libraries … quickly assimilate complex problems and develop solutions autonomously. Compiler development, in particular the back – end, including experience with or interest in AI/ML compiler frameworks such as TensorFlow (XLA, MLIR, or TFLite) An interest in working across the full AI stack – from ML framework integration and compiler front ...

Network Strategy team, helping shape the future of AI-driven telecommunications. In this specialist technical role, you'll apply your expertise in Artificial Intelligence, Machine Learning to tackle complex business challenges and unlock new opportunities across BT's network operations. You'll work at the forefront of research … Essential Skills/Experience Understanding of 4G & 5G network architectures and awareness of developments towards 6G Mobile Network planning, design and optimisation AI/ML and algorithm development Desirable Skills/Experience You will have experience in AI and Machine Learning and if you have experience ...

time. These are the projects where the technical complexity is highest and where a mistake is expensive. You will work at the point where machine learning requirements become annotation work: translating what a research team actually needs into workflows, standards and instructions that a specialist workforce can execute … numbers — throughput, quality rate, utilisation — and you notice when one is being bought at the expense of another Technically fluent enough to work with ML teams on what they need and why, and to pull your own data rather than wait for it You make people calls on evidence rather ...

have: 2+ years of working building AI powered products and 5+ years in software engineering. Experience building products using LLMs, embeddings and other ML technologies. Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies. Experience leading cross functional teams in an innovative … fast moving environment. A strong foundational understanding of machine learning models and practice, including model evaluation and performance. Strong full‐stack development skills. Must be willing to work from an office 4 days per week (except for remote roles). #J-18808-Ljbffr ...

Machine Learning Engineer to own retrieval and knowledge representation components at the heart of Scale GP. You will drive end-to-end ML deliverables, from research and prototyping to production deployment, working across knowledge bases, vector stores, RAG pipelines, and context engines that power enterprise agents. Ideally … have 5+ years building production ML/AI systems, a strong CS/ML degree, and deep retrieval knowledge. #J-18808-Ljbffr ...

Crick Institute in London is recruiting a Machine Learning Software Engineer to join the Software Engineering and AI team. You will develop ML-powered biomedical software, collaborating closely with researchers and technical specialists to accelerate discovery and deliver scalable applications. You will design, implement, and deploy solutions … complex biological challenges, applying your ML expertise and engineering practices to ensure reliability and reproducibility across #J-18808-Ljbffr ...

valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen … debugging, documentation, while staying at the forefront of AI technology. At Applied Intuition, you will Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms and solutions for defense use cases Leverage established products at Applied Intuition to build the software and infra foundation for behaviour-specific ML development. ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). We have recently been recertified as a 2026 Great Place to Work®. This achievement not only highlights Talan Data … committed to creating an inclusive, innovative, and high-performing workplace where every employee can thrive. We believe in investing in our people through continuous learning and development, fostering a culture of growth and engagement. Join us and be part of a team that values collaboration, creativity, and excellence. ...

modelling lifecycle: problem framing, data build, feature engineering, model development, validation, documentation Build and maintain risk and price models using GLMs and machine learning Translate models into implementable rating structures Strong governance: change control, champion–challenger/shadow runs, rollback plans, and clear … approvals and audit trails Strong general insurance pricing toolkit: GLMs (Poisson/NB/Tweedie), GAMs, credibility/hierarchical methods; experience with tree-based ML (GBM/XGBoost/CatBoost) and regularisation Proficient in R and Python, with strong SQL; comfortable in Git-based workflows and “in the engine room ...

Product Manager for Vision Models, you are the critical layer that connects on-the-ground AI performance with our AI/ML engineering. You will: Capture and triage data + feedback from customer deployments Use your judgement and understanding of our customer's industrial processes + priorities, recycled material … vision AI capabilities to prepare and prioritise work for our AI/ML engineers Lead the domain discovery required to bring new materials and markets online Own the data pipeline and labelling teams that we use to teach our models You will spend time at recycling sites watching how operators ...

where advanced modelling can have the greatest impact. Translate complex modelling approaches into clear commercial outcomes for senior stakeholders. Bring cutting-edge AI and ML into a business that's ready to act on it. What You'll Bring 7+ years' experience in data science and predictive modelling, with … proven track record of delivering results. Hands-on experience building state-of-the-art ML models and deploying them into production. A 2:1 or higher from a top university, ideally in a STEM or quantitative discipline. Strong stakeholder management skills and a genuine passion for data-driven decision-making. ...

Faculty Science Limited is seeking a Machine Learning Engineer to bring production-grade ML solutions to real-world client projects. You will help design scalable software architectures, validate technical feasibility, and ensure timely delivery of high-quality ML systems in collaboration with cross-functional teams. The role requires … hands-on experience with ML lifecycles, Python, cloud platforms, and container orchestration, along with the ability to communicate complex concepts to both #J-18808-Ljbffr ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly. Desirable Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers. ML Operations and Experimentation – Familiarity ...

external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes. Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features and drive technical strategy … technical direction for multi-service, cross-domain, or organizational mobile initiatives. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Strong proficiency in Kotlin Advanced proficiency with Jetpack components/Jetpack Compose, Android UI/UX best practices ...