Architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies.
Drive the adoption of modern AI frameworks, AI Ops best practices and scalable cloud-native architectures.
Collaborate with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout.
Manage, coach, and develop a small number of staff, focusing on managing employee performance and assisting in their career development.
Provide direction and leadership for your team as you solve challenging problems together.

A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field.
Demonstrable experience of deploying modern AI /ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection).
Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).
Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.
Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data.
Understanding of responsible AI principles, model interpretability, and ethical considerations.
Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language.
Experience in managing, coaching, and developing junior members of a team and wider community.

Lead AI Engineer

Key skills