5,001 to 5,025 of 6,603 Machine Learning Jobs in the UK

Linux driver for Fractile’s innovative AI accelerator hardware Implement highly‐optimised on‐accelerator software Work with hardware and higher‐level software and ML engineers in a highly collaborative hardware‐software co‐design methodology It would be great if you have: Proven experience of the development of Linux device drivers … Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Experience of working with GPUs or other machine learning accelerators Knowledge of contemporary machine learning techniques and technologies Previous experience in a startup or small team environment #J ...

cybersecurity technology company is seeking an experienced AI Application Developer to design and develop machine learning models as part of an innovative team. The role involves software development, data handling, solution design, and deployment of models using … popular frameworks like TensorFlow and PyTorch, along with cloud services. Candidates should possess a degree in a related field and experience in AI/ML project deployment. The position offers flexible working hours and opportunities for professional development. #J-18808-Ljbffr ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

trusted delegate who can confidently represent the CTO's priorities and drive alignment at every level of the organisation. The work spans machine learning, software-defined robotics and modern agile delivery. While you won't be hands-on with model development or control software, you'll need … end. Experience in high‐growth or scale‐up environments, particularly within deep‐tech or complex engineering organisations. Familiarity with modern engineering and ML tooling and workflows, such as CI/CD pipelines, Jira or ClickUp, MLflow or Weights & Biases, and simulation or testing environments. Experience working in regulated, safety‐critical ...

leading machine-learning software company in Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong … background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

management, systems engineering, or product operations for complex hardware/software platforms Technical depth to comfortably navigate technical discussions with software engineers, roboticists, and ML researchers Track record of leading cross-functional engineering programs from early planning through production rollout Clear written and verbal communication skills to align distributed engineering … critical deployment milestones Direct experience deploying robotics or autonomous systems into real-world environments is a bonus Technical background in autonomy, perception, controls, simulation, machine learning, or field engineering is a bonus Core Competencies Demonstrates expertise in technical program management and systems engineering, with a strong focus ...

impacting real world drug design programs. Skills and qualifications Essential: Significant experience with large scale distributed training of LLMs. Experience with deep learning ML frameworks (either JAX or PyTorch).Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).Good understanding of GPU architectures. Reasoning about performance concepts … Nice to have: Experience with general LLM serving stacks. Knowledge of XLA, Triton, Pallas, CUDA or similar accelerator DSLs/compilers. Experience with optimising ML accuracy using low-precision formats. Prior experience building, deploying and maintaining production systems on GCP.Interest in chemistry and biology. Culture and valuesWe are guided ...

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 ...

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 ...

Engineering, Machine Learning, Data Engineering, AI Solutions or Solutions Architecture background. You should have: Strong understanding of modern AI/ML technologies Experience deploying AI or data solutions into production Exposure to cloud-based AI platforms and modern data/software architecture Good understanding of integration, monitoring …/ML lifecycle management Enough technical depth to work effectively with engineers and technology partners Experience with the Microsoft AI ecosystem, GenAI/LLMs, agent-building tools or low-code platforms would be particularly relevant. Previous pharmaceutical or life sciences experience is not required . Location: Central London Working pattern ...

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 ...

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 ...

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 ...

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 ...

your strengths and interests, you'll have the opportunity to move between them. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through …/ML Ships product changes with care and quality in line with the organisation's governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that operates efficiently and supports ...