About this role
Salary: £75,000 - 82,000 per year
Requirements: Experience deploying LLMs and machine learning models into Azure enterprise environmentsExperience with Azure Databricks, Azure Machine Learning, and ideally Azure AI FoundryExperience building production AI applications using LangChain, LangGraph, and PythonExperience with MLOps / LLMOps, including deployment, monitoring, governance, and lifecycle managementExperience with RAG, vector databases, prompt engineering, and tool-calling patternsExperience building end-to-end AI/ML pipelines from data preparation through to productionExperience working with technical and business stakeholders to deliver AI solutionsDesirable experience with MLflow, MCP, Docker, Kubernetes, GitLab CI/CD, and Azure Data Factory Responsibilities: Design, deploy, and optimise machine learning models, LLM-powered applications, and agentic AI workflows within Microsoft AzureWork alongside platform engineers, data scientists, and data engineers to move AI from experimentation into secure, scalable productsTake ownership across the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation, and governanceBuild enterprise AI applications using RAG, vector databases, prompt orchestration, and tool-calling patternsHelp influence how modern AI technologies are adopted across the wider business Technologies: AIAzureCI/CDDatabricksDockerGitLabKubernetesLLMMachine LearningPythonCloud More:
We are offering an AI/ML Engineer role with a salary of up to £82,000 plus bonus and outstanding benefits. You will work in a London/Hybrid setup, helping shape how enterprise AI is adopted across a global organisation. This is a genuine engineering role with ownership, where we focus on production-ready AI solutions rather than endless proof of concepts. We offer 28 days holiday plus bank holidays with the option to buy more, private medical insurance, excellent pension, life assurance, and a flexible benefits package. You will also have the chance to develop your skills while working with a fast-moving modern Azure AI stack.
last updated 29 week of 2026