6,351 to 6,375 of 6,537 Machine Learning Jobs in the UK

work hands‐on with cutting‐edge GPU and CPU platforms ‐ including the latest NVIDIA architectures ‐ powering dense, large‐scale compute environments used for AI, machine learning, and next‐generation workloads. This is an opportunity to build expertise at the forefront of modern infrastructure, where reliability, scale, and performance ...

generations of strawberry picking robots on farms in Europe and Australia. Our team combines considerable expertise in manufacturing, mechanical, electronics and software engineering, and machine learning computer vision. Overview of Role Working within a small team, you will lead the other technicians to deliver a plan ...

more of the following areas, Inverse Kinematics techniques, Ragdoll and physics-based character animation, Procedural animation techniques, Keyframe animation and forward kinematics, Machine learning driven animation techniques Hangar 13 prides itself on the diversity of its team members, partners, and communities. For this reason, we remain committed ...

developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in‐house AI/ML infrastructure. Built by engineers, for engineers. From large‐scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied … spoken and written English. It will be an added bonus of you have: Relevant certifications and trainings Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and work‐life balance Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What ...

technology in the defence sector. Enjoy a flexible, professional, and inclusive work culture. Work with a talented team shaping the future of Autonomous Aviation, Machine Learning & Digital Twin technology. Competitive pro rata salary and benefits. 33 days annual holiday (pro rata), Employee Assistance Programme, cycle to work scheme ...

Airbnb. Our team focuses on co-hosting and building intuitive, user-facing experiences that enable people to host together as a team, using machine learning where appropriate to address real user needs. The team works collaboratively with cross‐functional partners in Design, Product Management, Business and other Engineering ...

work. It would be great if you also have Experience with digital marketing tools and platforms. Knowledge of the latest trends in AI and machine learning. A background in the retail or healthcare industry. Where your brilliance can take you At Boots, we believe in your potential. … have opportunities for career development and growth, supported by a culture that encourages learning and innovation. Rewards designed for you Boots Retirement Savings Plan (up to 6% company contribution) Generous employee discounts for you and a family member Enhanced maternity/paternity/adoption leave pay Access to free ...

innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Search Results and Recs experience team owns ...

modelling workflows Experience with Python or similar programming tools for geoscientific workflows is desirable Exposure to emerging geophysical or data-driven approaches (e.g., machine learning, drone-based surveys, distributed sensing) is advantageous Working conditions Hybrid work mode, visits to client sites, travel required 2026 Copyright Bentley Systems, Incorporated ...

commercial operations and inventory optimization. Youʼll join a high-performing, cross-functional team building next-generation products in a rapidly evolving space where innovation, learning, and impact are daily drivers. Youʼll identify and prioritize the most valuable product opportunities, lead discovery and delivery, and work across Peak and UiPath … experience leading strategic initiatives in a SaaS product business Strong domain expertise in supply chain and/or manufacturing Deep experience with AI/ML/agentic products, and the ability to effectively navigate the technical complexity and rapidly evolving landscape characteristic of these products Proven track record of working ...

talent pipelines Develop warm candidate pipelines for Rowden's hardest-to-fill disciplines before vacancies are formally raised. These can range from RF engineering, machine learning, systems engineering and software, through to highly specialist GTM roles. Own Rowden's sourcing strategy across passive candidate channels: LinkedIn Recruiter comes ...

multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best ...

Jobtailor is seeking a senior ML Engineer/Scientist to turn ML models into production services with latency and reliability targets. You will own SageMaker training, processing and inference workloads and build end-to-end pipelines. You will implement reproducible training runs, monitor model performance and data drift, and ship ...

CoreWeave seeks an Account Solution Architect covering Northern EMEA. You’ll move across the full ML stack, from training workflows to GPU infrastructure, engaging AI labs, research institutions, and enterprises with demanding GPU workloads. Role requires deep ML/infra knowledge, hands‐on Kubernetes, and the ability to discuss model ...

build production-ready models that model participant supply, demand and quality, and improve how participants are matched to studies. This role blends data science, ML and statistics, focusing on turning promising ideas into deployed solutions while mindful of production constraints. You will work with product and engineering teams to define … problems and run experiments, bringing depth in ML and statistics to real-world #J-18808-Ljbffr ...

build AI systems that optimise routes, forecast demand, and replan in real time when disruptions occur. The role combines backend engineering with production ML, tackling hard logistics problems with significant real-world impact. You’ll work on route optimisation, load planning, and carrier matching, building data pipelines and feature stores … power scalable ML models while collaborating with operations teams to understand the messy realities #J-18808-Ljbffr ...

title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines ...

looking for someone who combines a strong marketing and growth background with excellent quantitative and technical skills. The role sits across growth marketing, AI, ML, paid acquisition, optimisation and experimentation. You'll be using data, applied maths and AI to improve acquisition, creative performance, measurement and LTV. We're looking … someone who has genuinely worked in marketing or growth, ideally across paid acquisition, performance marketing, experimentation or growth science, alongside strong analytical, ML or quantitative capability. London, 3 days in the office Competitive salary plus equity No visa sponsorship available. #J-18808-Ljbffr ...

scope of IR35 and the requirement is to be on-site 2 days a week. Your new role Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain … robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline ...

globally renowned client for an AI specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms. We're looking for technology governance SME who can demonstrate a track record of operationalising controls and driving adoption. Titled … governance processes across the end-to-end AI lifecycle (data, development, validation, deployment, monitoring, and retirement) Embed governance controls into AI/ML platforms, MLOps pipelines, and AI lifecycle management Own AI governance operations including AI Registry, model/agent inventory, AI asset tiering, approvals, attestations Establish governance automation ...

Node.js, TypeScript) Design and maintain APIs, database schemas, and backend services Integrate blockchain-based authentication and ownership verification systems Develop and deploy AI/ML features including image recognition, pricing models, and automated listing generation Own technical decisions and help define our engineering culture from the ground up Requirements 4+ … databases Ability to work autonomously and ship quickly in an early-stage environment Based in London Nice to Have Experience building or working with ML/AI systems (model training, inference pipelines, or applied ML features) Background in blockchain, Web3, or token-based systems Experience in e-commerce, marketplace ...

globally renowned client for an AI specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms. Were looking for technology governance SME who can demonstrate a track record of operationalising controls and driving adoption. Titled … governance processes across the end-to-end AI lifecycle (data, development, validation, deployment, monitoring, and retirement) Embed governance controls into AI/ML platforms, MLOps pipelines, and AI lifecycle management Own AI governance operations including AI Registry, model/agent inventory, AI asset tiering, approvals, attestations Establish governance automation ...

governance processes across the end-to-end AI lifecycle (data, development, validation, deployment, monitoring, and retirement) Embed governance controls into AI/ML platforms, MLOps pipelines, and AI lifecycle management Own AI governance operations including AI Registry, model/agent inventory, AI asset tiering, approvals, attestations Establish governance automation … through robust evidence management and reporting Drive continuous improvement of governance processes, tooling, and operating models. Experience 8-12+ years in AI/ML, technology operations, governance, risk, or digital transformation. Experience implementing enterprise governance processes and operating models. Experience with AI/ML platforms, MLOps, DevSecOps, or data ...

globally renowned client for an AI specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms click apply for full job details ...

access Model training, deployment, and orchestration AI-driven services and decision-support systems Define how multiple model types interact in a single system (statistical, ML, causal) Automation and decision-support Intelligence and human authority Anticipate scaling, safety, and failure modes of AI-enabled systems Guide architectural trade-offs to support … Senior architect or engineer with experience building AI-enabled platforms Deep understanding of distributed systems and AI infrastructure Has designed production systems where ML models are part of core workflows Thinks beyond individual components to AI systems as a whole Values constraints, clarity, and governance as much as capability #J ...