7 of 7 Permanent MLOps Jobs in West Yorkshire

generative AI and the modern AI stack, including large language models, prompt engineering, retrieval-augmented generation (RAG), vector databases, evaluation/monitoring and MLOps principles, with the ability to shape investment cases and operating models at scale.Extensive experience providing executive oversight for production AI delivery (you steer architecture and engineering ...

habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security: VPC design, service mesh and zero ...

controlStrong collaboration skills, working across engineering, security, data science and product teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative ...

knowledge of knowledge graphs and semantic data modelling, using technologies such as RDF, LPG, Neo4j, and SpannerGraph. Strong understanding of modern cloud platforms and MLOps tooling, including GCP and containerisation with Docker. Excellent problem-solving skills, with the ability to translate research concepts into scalable, production-ready systems. Desirable: Experience ...

deliver an enterprise-grade Microsoft Azure AI Foundry platform in a Leeds-based environment. You will operate across Azure infrastructure, AI platform engineering, security, MLOps and FinOps to establish technical standards and scalable, reusable patterns for AI adoption. The role emphasizes governance, cost management and hands-on engineering leadership ...

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/ ...

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