301 to 325 of 336 MLOps Jobs in the UK

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £105k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team … other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity. ...

making the function known Team Building Scale the team in line with what the roadmap demands – hiring across ML engineering, data science, and MLOps Develop the existing team, create career paths, and set technical and cultural standards What the First Year Looks Like 3 months: DS roadmap defined cross‐functionally … external presence. 12 months: DS is a recognised, embedded function with a track record of delivery. Experimentation is a working discipline used beyond DS. MLOps maturity has stepped up. The team has grown in line with what was needed to get here. What You Bring Must‐Haves 4‐5 years ...

accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. Build data warehouse solutions and BI dashboards that … been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ...

Fosse Associates is seeking a Lead MLOps Engineer on a contract basis to lead the design and expansion of enterprise ML platform capabilities in a UK heritage brand. Hybrid London-based role, 3 days a week near Holborn with potential flexibility. £850-£900 per day Inside IR35. Immediate start … based applicants only. You will mentor data science teams, implement scalable MLOps pipelines, and ensure production ML workloads run reliably at scale. #J-18808-Ljbffr ...

NLP PEOPLE is seeking an Applied AI/ML Lead – Vice President – Machine Learning Engineer to advance AI in financial services. Located in Greater London, the role combines technical leadership with responsibilities in building scalable ...

Job Title: DevOps Engineer Location: Durrington, hybrid Contract Type: Permanent Hours: 37 per week Salary: from £50k About the role We're looking for a forward-thinking DevOps Engineer to play a key role in ...

seeks a Head of AI Engineering to lead the design, deployment and governance of enterprise AI capabilities, including ML platforms, generative AI and MLOps tooling. You will establish AI engineering standards, guardrails and best practices across the model lifecycle, ensuring scalable, secure and compliant solutions delivering measurable business value. ...

Lumai Limited is building a breakthrough AI accelerator for data centers using 3D optical compute. We seek a senior MLOps Engineer to own end-to-end ML pipelines, tooling, and production deployments for models from research to silicon-validated production. In this high-ownership role, you’ll collaborate with ...

will design, develop, and deploy AI solutions across secure environments, building end-to-end ML pipelines, RAG components, and scalable data processing. Responsibilities include MLOps, architecture decisions, and collaborating with cross-functional teams to deliver production-ready AI systems with strong emphasis on security and compliance. #J-18808-Ljbffr ...

This hybrid role involves leading the design of ML platforms and infrastructure, ensuring effective deployment and monitoring of models. The ideal candidate has extensive MLOps experience, strong software engineering skills, and familiarity with cloud platforms such as GCP. Join a diverse team at iProov, working at the intersection of technology ...

Architect for AI who will own end-to-end delivery of AI/ML engagements, from silicon and data center design to software and MLOps governance. This hands-on role spans GPU infrastructure, high-performance networking, model training, and responsible AI frameworks. The candidate will lead technical delivery teams, chair ...

will own the end-to-end lifecycle of models, ensure decisions are safe and explainable, and lead a multi-disciplinary DS/ML/MLOps team with strong governance and risk controls. #J-18808-Ljbffr ...

Lead MLOps Engineer (Contract) We’re supporting a leading UK heritage brand on the appointment of a Lead MLOps Engineer (Contractor) to help scale and optimise their machine learning platform capabilities. You’ll play a key role in designing and enhancing enterprise MLOps infrastructure, enabling data science teams to rapidly … programme at a pivotal stage and help shape the future AI and machine learning landscape across the business. Key Skills/experience Strong commercial MLOps engineering experience at Senior/Lead level Cloud platform experience: GCP essential, Azure nice to have Experienced operating in large scale complex data environments Large ...

Lead to drive production-grade models and automated decisioning for the Economic Crime Hub. You will own end-to-end model lifecycle, overseeing MLOps, governance, and scale across the business, partnering with Analytics, Product, and Technology teams. You will build and lead a multidisciplinary DS/ML/MLOps function ...

low. Join us on our journey... Let’s create something awesome, together, today. About the role and team: We are looking for a Lead MLOps Developer to own the design and delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain … production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite (e.g., the CVM suite) from legacy infrastructure to SageMaker, owning parity testing methodology and sign-off Build and maintain CI/ ...

low. Join us on our journey... Let’s create something awesome, together, today. About the role and team: We are looking for a Lead MLOps Developer to own the design and delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain … production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite (e.g., the CVM suite) from legacy infrastructure to SageMaker, owning parity testing methodology and sign-off Build and maintain CI/ ...

low. Join us on our journey... Let’s create something awesome, together, today. About the role and team: We are looking for a Lead MLOps Developer to own the design and delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain … production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite (e.g., the CVM suite) from legacy infrastructure to SageMaker, owning parity testing methodology and sign-off Build and maintain CI/ ...

design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver … measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high-quality delivery and operational excellence. Define and maintain engineering standards, AI guardrails and Responsible AI practices. Oversee model development, deployment, monitoring, evaluation and continuous improvement processes. Drive preventative controls, automation, observability and root cause analysis ...

engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating MCP patterns Contributing to a structured product roadmap Job Requirements: Experience in software engineering … anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge of MLOps practices Understanding of graph-based dependency or impact analysis (desirable) Experience with AI features in compliance or governance contexts (desirable) Familiarity with SAP BTP (desirable) Benefits ...

design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver … measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high‐quality delivery and operational excellence. Define and maintain engineering standards, AI guardrails and Responsible AI practices. Oversee model development, deployment, monitoring, evaluation and continuous improvement processes. Drive preventative controls, automation, observability and root‐cause analysis ...

generative experiences. Set technical direction, establishing high standards for modelling approaches, evaluation, deployment, and monitoring. Collaborate closely with Product, Engineering, Data Science, and MLOps to ensure seamless deployment and scalability of ML models. Build and lead a high-performing team of approximately six Machine Learning Scientists, fostering their professional growth … implement scalable, maintainable ML practices. Manage and develop a team of skilled ML scientists, fostering technical expertise and leadership. Work closely with Engineering and MLOps teams to ensure models are effectively deployed, monitored, and scaled. Communicate the value and impact of ML & AI initiatives to senior stakeholders, influencing strategic decisions. ...

accuracy, and consistency of training data across multiple concurrent projects and robot platforms. Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real‐world robot performance. Build data warehouse solutions and BI dashboards that … progress, and operational health. Establish and uphold best practices for data management – versioning, access control, security, and compliance. Nice to Have ML infrastructure or MLOps experience – understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you’ve worked alongside or directly ...

Fosse-1 is seeking a Lead MLOps Engineer (Contract) to scale and optimise an enterprise ML platform for a leading UK heritage brand. You will design and enhance MLOps infrastructure to enable data science teams to deploy, monitor and manage models in production. This senior role requires leadership ...

Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability … grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures ...