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Hunter Bond · London Area, United Kingdom

AI Engineer : London, Hybrid : £70k + bonus

Hybridseniorfull timePosted 8 days ago
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We're working with a leading enterprise client to recruit an AI Engineer to help deliver innovative AI, automation and data solutions in a highly regulated financial services environment. This is an exciting opportunity to join a growing technology function where you'll play a key role in transforming strategic AI initiatives into secure, scalable and measurable business solutions.

What we're looking for:

- 2+ years' experience in AI Engineering, Data Engineering, Software Engineering, Analytics Engineering, BI Development or Automation.

- Degree in Computer Science, Data Science, Software Engineering, Mathematics, Quantitative Finance or a related discipline (or equivalent commercial experience).

- Strong programming skills in Python and SQL, with experience building data pipelines, APIs, automation and analytical datasets.

- Experience working with Snowflake (or similar cloud data platforms), including data modelling, optimisation, data quality and governance.

- Knowledge of Power BI, DAX and Power Query, with the ability to create meaningful business reporting and dashboards.

- Hands-on experience with AI technologies including LLMs, prompt engineering, Python ML libraries, model evaluation, RAG and/or agentic AI frameworks.

- Understanding of the end-to-end AI delivery lifecycle, from use case identification and prototyping through to deployment, monitoring and operational support.

- Familiarity with Git/GitHub, CI/CD, testing, documentation and engineering best practices.

- Experience integrating multiple internal and external data sources via APIs, databases, files and business applications.

- Awareness of AI governance, responsible AI, data privacy, security, audit and regulatory controls.

Ideally you'll also have:

- Experience within a financial services or banking environment.

- Excellent communication skills with the ability to engage technical teams, business stakeholders and control functions.

- A pragmatic approach to delivering production-ready AI solutions that balance innovation with governance, security and operational excellence.

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