Salary: £65,000 - 75,000 per year Requirements: We require software engineering experience, ideally with C# or Python. We require hands-on experience with Azure services, including Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, and Cosmos DB. We require experience designing, testing, and deploying AI/ML solutions. We value experience with GenAI and LLM APIs. We value experience building chatbots and agents. We value experience with FastAPI, Microsoft Agent Framework, LangChain, and vector databases. We value experience in ML engineering. We are looking for candidates who can analyse data and apply machine learning techniques to solve business problems. Responsibilities: We design, develop, and implement AI-driven solutions to address complex business challenges. We collaborate with cross-functional teams to integrate AI technologies into existing systems. We research and apply advanced machine learning algorithms and techniques to improve business processes. We analyse large datasets to generate actionable insights and support data-driven decision-making. We develop and maintain scalable AI models using industry best practices. We monitor the performance of AI systems and troubleshoot issues as they arise. We provide technical expertise and guidance to colleagues and stakeholders. We stay up to date with emerging trends and advancements in AI and machine learning. Technologies: AI Azure C# Cosmos DB Fabric FastAPI Support LLM Machine Learning Python Cloud More: We are a Financial Sector organisation growing our AI team with a brand new AI Engineer role. This is a hybrid position based in Central London, with 2 days in the office and 3 days working from home. You will join an AI team of 20, working on new projects and products that use data to help us make smarter, better decisions. We offer a car allowance of 5k, private medical cover, 25 days of holiday plus bank holidays, the option to buy 10 additional days off, matched pension contributions, and life assurance. last updated 20 week of 2026