About this role
Salary: £62,000 - 75,000 per year
Requirements
- Software engineering experience, ideally with C# or Python
- Experience with Azure technologies, such as Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, or Cosmos
- Experience working with stakeholders and collaborating with wider technology teams
- Experience designing, testing, and deploying production-scale GenAI solutions, beyond proof of concepts
- Experience with one or more of the following: GenAI, LLM APIs, AI/ML solution design and deployment, chatbots or agents, FastAPI, Microsoft Agent Framework, LangChain, vector databases, or ML engineering
Responsibilities
- Design, develop, and implement AI-driven solutions to address complex business challenges
- Collaborate with cross-functional teams to integrate AI technologies into existing systems
- Research and apply machine learning algorithms and techniques to improve business processes
- Analyse large datasets to derive actionable insights and support data-driven decision-making
- Develop and maintain scalable AI models using industry best practices
- Monitor AI system performance and troubleshoot issues
- Provide technical expertise and guidance to colleagues and stakeholders
- Keep up to date with developments in AI and machine learning
Technologies
- AI
- Azure
- C#
- Fabric
- FastAPI
- Support
- LLM
- Machine Learning
- Python
- Cloud
More
We are a financial-sector organisation growing our AI team of 20 with this brand-new role. The team will work on new projects and products, using data to support smarter, better decisions. The role is hybrid, with two days in Central London and three days working from home. Benefits include a £5,000 car allowance, private medical cover, 25 days of annual leave plus bank holidays, the option to buy up to 10 additional days of leave, a matched pension, and life assurance.
last updated 45 week of 2026