6,476 to 6,500 of 6,651 Machine Learning Jobs in the UK

Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot (U.S. only) Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities ...

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 ...

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 ...

Boehringer Ingelheim GmbH in London is seeking an ML Engineer to join the AI Systems team. You will help translate validated research into production-ready models and contribute to scalable training and inference pipelines. You will collaborate with AI scientists and other ML engineers to ensure production-quality artefacts, with ...

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 ...

customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML click apply for full job details ...

Williams F1 Team is seeking an Aerodynamic AI Engineer to develop and deploy AI/ML models for CFD data analysis, build surrogate models, and create AI-driven mesh generation tools for aerodynamic applications. The role collaborates closely with aerodynamicists and CFD engineers to translate requirements into robust AI solutions ...

Williams F1 Team seeks an Aerodynamic AI Engineer to bridge aerodynamic engineering and AI, developing ML models, surrogate models, and automated geometry tools to give the team a competitive edge in vehicle development. You will collaborate with aerodynamicists and CFD engineers, translating complex requirements into practical AI solutions and communicating ...

powered Knowledge Management and Training platform. You will work closely with BB7 and Leeds University Business School, leveraging Explainable AI and ML to accelerate skills development, improve consistency, and support digital transformation across the fire engineering sector. #J-18808-Ljbffr ...

Solirius Ltd. is seeking an experienced Data Engineer to design, develop, and maintain data pipelines and systems enabling data analysis and machine learning. You will collaborate with data scientists, analysts, and stakeholders to ensure data quality and reliability. You will work as part of a team delivering exciting projects ...

monthly testing cycles with custodians and brokers before go-live. Collaborating across technology and operations, you will gain exposure to Intelligent Automation tools and ML/AI experts while developing your skills and supporting senior decision makers. #J-18808-Ljbffr ...

that cut through Arctic whiteout, polar night darkness, and ice fog — where traditional perception stacks fail. This isn't lab work: you'll deploy ML models on edge hardware that operates at -40°C, where every watt counts and failure means mission abort. CORE RESPONSIBILITIES Design and deploy perception pipelines … Arctic autonomous platforms (surface, subsurface, aerial) Fuse multi-modal sensor data (vision, LiDAR, radar, IMU, GNSS) for situational awareness and autonomy Build ML models for ice classification, terrain mapping, and obstacle detection in low-visibility conditions Train, evaluate, and harden ML models against snow cover, ice glare, low sun angles ...

Research and Development is seeking a Perception Engineer to build eyes for autonomous systems operating in the Arctic's harsh environments. You will deploy ML models on edge hardware at -40°C to enable reliable perception where traditional stacks fail. Design and deploy perception pipelines, fuse sensor data, and collaborate ...

direction and partner with senior stakeholders to place data at the heart of decision making. You will guide experimentation, causal inference, statistical modeling and ML efforts, ensuring rigor and translating insights into product and customer impact. #J-18808-Ljbffr ...