AI Engineering Manager

AI Engineering Manager – Investment Management

Orbis are proudly working with an Investment Management firm in Central London are looking to hire an AI Engineering Manager with a background in Software Engineering or Data Engineering and a solid understanding of the current AI landscape.

The AI Engineering Manager will help shape, build and deliver the next generation of AI and automation capabilities. This is a rare opportunity to join a firm modernising its engineering landscape, working with business leaders to turn complex problems into real, production-ready AI solutions.

Your key responsibilities will be:

• Leading or contributing to the design, build and delivery of AI-driven solutions across the firm, from prototype to production
• Partnering with business stakeholders to refine opaque problems, identify AI/automation opportunities and shape technical requirements
• Working with large volumes of unstructured “dark data” to extract insights, build semantic models and support new AI use cases
• Driving or supporting modern engineering practices across Azure, Python, and the firm’s emerging AI ecosystem

To succeed in this role, you will have:

• Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers)
• Excellent understanding of the Microsoft ecosystem including Azure, AI services, and the evolving roadmap shaping Microsoft’s cloud and AI solutions
• Excellent proven experience working directly with cross-functional business stakeholders to understand challenges and translate into technical requirements
• Strong experience of managing and/or leading teams of Software and Data Engineers

If you feel your experience is a fit with the above role, please apply with an up-to-date CV in the first instance.