15 of 15 MLOps Jobs in Yorkshire

Job Type: Permanent Build a brilliant future with Hiscox Company description Hiscox is a diversified international insurance group with a powerful brand, strong balance sheet and plenty of room to grow. Listed on the London ...

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 ...

technologies, collaboration platforms, and SQL-based databases. Strong experience working within AWS environments and services. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such ...

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 ...

Teams. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Desirable Experience AI governance and responsible AI practices. MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering ...

needed to put machine learning into production at scale. You'll have a meaningful say in how the deployment framework, model registry and wider MLOps capability are built. You won't simply inherit someone else's setup. If you've reached the point where you want to build the systems ...

Hiscox is seeking an experienced Machine Learning Engineer to join a newly formed ML Engineering team. You will build and maintain infrastructure to deploy data‐driven models, and develop Python APIs to serve ML models ...

that actually make it into production. We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered ...

Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each ...

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 ...

capabilities like anomaly detection, forecasting, predictive alerting, noise reduction, and automated root-cause analysis into the productOperationalise LLM capabilities with strong AI engineering and MLOps, and deliver production-grade LLM features (NLQ over telemetry, summarisation, incident triage, on-call copilots) using prompt engineering, RAG, evaluation, and guardrails; collaborate with … capabilities (e.g., anomaly detection, forecasting, features) including familiarity with LLM APIs, prompting/RAG/embeddings/vector DBs, and the model lifecycle/MLOps basicsFrontend engineering background JavaScript/TypeScript with React/Angular/Vue, building performant, maintainable UIsSolid understanding of SQL/NoSQL and handling time-series ...

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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