626 to 638 of 638 MLOps Jobs in the UK

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Insurance is seeking an MLOps Engineer to join our Algorithmic Engineering team. You will help build and scale our MLOps system, enabling underwriting models to grow and scale, with autonomy to design and implement high-impact features. You'll collaborate across the business to generalise the system for actuarial ...

Woven by Toyota seeks an experienced Autonomy Data Manager to lead a skilled team of Data Scientists, Data Engineers, and ML Ops Engineers in the Autonomy group. You will drive data model development, labeling strategies ...

GuildfordTechnology – Machine Learning/Full -time/On-siteWith multiple awards to our name, Larian Studios has proven that we're dedicated to delivering high-quality role-playing games As we move on to new ...

Transport for London (TfL) is seeking a Data Scientist to collaborate with senior data leaders and cross-functional teams to design and deliver advanced data-driven solutions, including AI and Generative AI techniques, across transport ...

Clarity Innovations is seeking a Data Scientist to support Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK. The role involves deriving insights from complex data, guiding data initiatives, and enabling digital transformation to ...

AXIS Capital is seeking a Data Science & AI Delivery Lead to helm AI delivery across strategic and standalone use cases. You will work closely with the Head of Data Science & AI Delivery, driving technical delivery ...

gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll doDefine standards for responsible AI, model … governance, and production MLOps that get adopted broadly across the Global Public Sector teamBuild or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. Architect AI systems designed to prevent systemic failure, and lead the resolution of the most ...

gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll do Define standards for responsible … model governance, and production MLOps that get adopted broadly across the Global Public Sector team Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. Architect AI systems designed to prevent systemic failure, and lead the resolution ...

different cadences, from rapid software release cycles through to longer‐term research and development work. Apply sufficient technical fluency in machine learning (including MLOps, model deployment and training infrastructure) and software‐defined robotics (including ROS/ROS2, simulation and digital twins) to identify risks, challenge assumptions and support sound decision … comfortable engaging in technical discussions and reviews. Applied experience in machine learning and/or robotics environments, with familiarity in areas such as MLOps, deployment pipelines, model training workflows, and simulation‐to‐production delivery. Experience operating across mixed delivery cadences, supporting programmes where teams work at different speeds and delivery ...

CMC Markets is seeking an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems across research and production. You’ll design data pipelines, deploy and monitor models, and ...

Passionfruit in London is seeking a Machine Learning Engineer to design, build, and ship production ML systems powering our marketing-focused platform. The role emphasizes real-time chat, workflow automation, and autonomous agents, with ownership ...

Wayve is seeking a Staff Machine Learning - Ops to own and enforce release gates across the model training lifecycle. You will lead the ML delivery pipeline improvements, review release content for quality and safety, and ...