4 of 4 Permanent Feature Engineering Jobs in the East of England

operating the platform, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business.This is a senior hands-on engineering role combining deep technical execution with architectural decision-making. You'll set data and AI engineering standards, driving automation and MLOps practice … work across the full Azure Fabric data stack — from ingestion through to feature-ready datasets that enable analysts, data scientists and AI teams to do their best work. You'll partner with architecture, governance, modelling, and analytics teams to deliver end-to-end data and AI engineering products.What ...

systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. … automation to move faster, raise the bar, and scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with ...

consistent reporting, self-service analytics, and AI/ML at scale.This is a hands-on technical role that sits at the intersection of data engineering, business intelligence, and artificial intelligence. You'll work across gold layer models, semantic models and AI-ready data products in Microsoft Azure Fabric … generation (RAG) principles to data product design, enabling AI tools to retrieve accurate, contextualised metric definitions and business logic for queries.Use LLMs and prompt engineering to accelerate model documentation, metric definition drafting, data lineage annotation, and consistency checking across large model libraries.Stay current with how LLM tooling and agentic ...

proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.Prior experience working with omics data and familiarity with oncology drug development.Excellent communication skills, with the ability ...