We have partnered with a forward-thinking financial services organisation that is reimagining how AI can be used to power smarter decision-making, enhance customer experience, and unlock new commercial opportunities. From predictive analytics and intelligent automation to LLM-driven insights and generative AI solutions, this business is building a next-generation AI ecosystem that blends innovation with real-world impact.

About the role:

The AI Engineer will work at the intersection of data science and engineering to design, optimise, and deploy advanced AI models at scale. You'll play a key role in building robust ML pipelines, integrating with Azure AI services, and developing production-ready APIs that bring machine learning into live customer and operational environments.

About you:

• Proven experience as an AI or ML Engineer within financial services or fintech
• Strong skills in Python, TensorFlow, PyTorch, and MLflow
• Hands-on experience with LLMs, vector databases (e.g. Pinecone, FAISS), and generative AI frameworks
• Deep understanding of MLOps, containerisation (Docker, Kubernetes), and cloud-based AI platforms (preferably Azure AI or OpenAI services via Azure)
• Strong problem-solving mindset and ability to work in fast-moving environments