251 to 271 of 271 MLOps Jobs in the UK excluding London

reliably in production — not just in a demo. You will work closely with the Data Science team who supply clean, structured data, and with MLOps who handle deployment and infrastructure. You will also engage directly with business stakeholders to understand problems before proposing AI solutions. Security clearance or willingness … inputs, outputs, and limitations Interpersonal & Professional Skills• Translating AI capabilities into clear business outcomes for non-technical stakeholders • Cross-functional collaboration with data scientists, MLOps, and product teams • Ability to push back on AI for its own sake and advocate for the right solution • Championing best practices and supporting ...

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Is this the next step in ...

solutions in AWS Build highly available SageMaker endpoints with monitoring and alerting Develop Terraform modules for repeatable infrastructure deployments Implement CI/CD and MLOps best practices Produce architecture documentation, configuration guides and operational runbooks Deliver knowledge transfer sessions and support engineering handover We're looking for someone with: Generative …/Agentic AI experience (essential) AWS, ideally SageMaker MLOps and production ML deployments Terraform and Infrastructure as Code CI/CD and DevOps practices Monitoring, alerting and operational support Location:Remote (UK based candidates only) Contract length - 4 months Daily rate - £500 (inside IR35) Start Date: 24/08/ ...

delivery of our Hybrid AI Platform from the Edinburgh office with a 3:2 hybrid policy. You will provide leadership across AI infrastructure, MLOps, cloud-native platform engineering, and operational excellence—driving scalable, secure AI systems in collaboration with engineering, product, and executive stakeholders. Required: 10+ years in DevOps ...

Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome candidates with strong experience in either market data engineering or MLOps, provided they have the skills to build ...

production AI and agentic workflows across the organisation. You will operate at a senior technical level, working across Azure infrastructure, AI platform engineering, security, MLOps, FinOps and AI engineering teams to create a secure, scalable and reusable AI platform. The successful candidate will combine deep Azure architecture expertise with hands … consumption‐based AI costs. Work with engineering and finance stakeholders to identify opportunities to optimise AI platform expenditure without compromising performance or service quality. MLOps, Automation & Platform Engineering Design and implement automated deployment pipelines for AI platform components and workloads. Establish CI/CD processes using Azure DevOps and/ ...

Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join ...

DescriptionWho We Are:We’re on a mission to close the world’s tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes ...

data solutions. This role will see you building and maintaining scalable platform capabilities, troubleshooting existing services, and providing technical support to Data Scientists and MLOps teams working across a range of technologies. Key Responsibilities of the Analytics Platform Engineer Design, build and maintain scalable analytics platforms and cloud-based infrastructure. … platform capabilities while enhancing and maintaining existing analytics solutions. Troubleshoot technical issues, implement improvements and optimise platform performance. Collaborate closely with Data Scientists, MLOps Engineers and other technical teams to deliver reliable, secure and high-performing solutions. Adapt to a varied workload, solving complex engineering challenges across a range ...

will need: You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points: Key Requirements:A higher degree in engineering, computer … engineers to meet the technical delivery and business outcomes.Commercial experience contributing to the success of high impact Data Science projects within complex organisations.Experience in MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management.Experience with different programming languages and a good grasp of at least ...

reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team.Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning … partners across Product and Engineering and shaping strategy, not just execution.A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar.Strong grounding in experimentation and statistics — A/B testing, causal inference, and rigorous measurement ...

JPMorganChase is seeking a Software Engineer III to join the AI/ML and Data Platform. You will be a seasoned member of an agile team delivering trusted, secure scalable technology across multiple business areas. ...

other in Kuala Lumpur, Malaysia. With this role, you will be accountable for the reliable, secure and efficient operation of the organisation’s MLOps platform and Machine Learning Operations (MLOps) capabilities.In this role you will report to the Head of Data Platform and Services, the role ensures platform services meet … risk management and compliance for production data and AI services.Key ResponsibilitiesOwn and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction. Lead platform service management activities, including incident, problem, change, and request processes, while coordinating support ...

will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving … lifecycle. Design, develop, test, and deployment of a new analytic hosting platform. Bugfixes and feature requests for existing mission facing analytics. Engineering support to MLOps engineers and Data Scientists. These are unpredictable and highly variable requirements, potentially using unfamiliar technology, so a flexible style is required. In this role ...

improving performance, cost efficiency, and security posture Mentor and guide team members, fostering a culture of technical excellence and continuous learning Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems Define agentic patterns to inflect the way we build, deploy, and observe cloud infrastructure … improving performance, cost efficiency, and security posture Mentor and guide team members, fostering a culture of technical excellence and continuous learning Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems Define agentic patterns to inflect the way we build, deploy, and observe cloud infrastructure ...

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 ...

Align Product, Engineering, Data Science, Governance, and Operations to resolve dependencies and manage risks. Platform & AI Deployment: Coordinate the launch of enterprise data platforms, MLOps, AI-enabled features, and data quality frameworks. Governance & Risk: Ensure solutions comply with data privacy, security, AI risk management, and regulatory standards. Stakeholder Management …/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills in regulated environments. Preferred Qualifications Hands-on familiarity with Generative AI, MLOps, metadata management, or Data Mesh/Products. Prior experience in financial services, risk, ratings, or highly regulated sectors. Randstad Technologies is acting as an Employment Business ...

AI/ML Engineer Location: Hampshire/Hybrid - 2 days per week onsite Salary: £60,000 per annum + benefits Are you an experienced AI/ML Engineer who enjoys tackling complex technical problems and ...

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 ...

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 ...

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 ...