6 of 6 Permanent MLOps Jobs in the Midlands

Prefect. Data Quality and Lineage Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications in containerised ...

multi‐structured wealth data. AI Readiness: Implement strategies to make data "AI-ready," focusing on data quality, low-latency access, and the integration of MLOps principles into the data engineering workflow. Technical Governance: Set and enforce high standards for code quality, documentation, and testing. Drive the adoption of modern engineering ...

avoid duplication, ensure accountability. Collaborate with Product Managers to embed AI capabilities into broader product strategies. Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability. Act as the primary liaison between business stakeholders and AI team. Educate stakeholders on AI capabilities, limitations ...

based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance, and safety principles into every stage of development Collaborate within cross-functional ...

Senior Technology Leader will be responsible for establishing engineering excellence across the organisation. Your remit spans technical standards, cloud native architecture, automation, AI and MLOps, and the evolution of their software engineering culture. You will influence product direction and play a central role in shaping the technical future of their ...

LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus. ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business ...