Head of AI Engineering

About the role

As a member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will steer the design, deployment, integration and continuous improvement of enterprise AI and machine‑learning capabilities across the organisation.

Key responsibilities

• Lead AI engineering, MLOps and platform teams to deliver high‑quality, secure and compliant solutions.
• Define and maintain engineering standards, AI guardrails and Responsible AI practices.
• Oversee model development, deployment, monitoring, evaluation and continuous improvement.
• Implement preventative controls, automation, observability and root‑cause analysis to minimise technical debt.
• Partner with Architecture, Risk, Compliance and business stakeholders to shape AI road‑maps.
• Report on progress, model performance and business value, identifying improvement opportunities.
• Build, mentor and develop high‑performing teams through coaching, succession planning and recruitment.

Required profile

• Significant leadership experience in AI engineering within a fast‑paced technology environment.
• Strong expertise in machine learning, MLOps, generative AI, LLMs and cloud technologies.
• Proven track record of implementing AI engineering standards, deployment automation and Responsible AI frameworks.
• Excellent analytical, problem‑solving and stakeholder‑management skills.
• Strong written, verbal and presentation abilities.

Required skills

• Machine Learning
• MLOps
• Generative AI
• Large Language Models (LLMs)
• Azure AI
• Azure ML

What we offer

• Competitive salary and £6k car allowance.
• Flexible hybrid working approach.
• Annual performance bonus (4Cs scheme).
• Private medical insurance for Band 5 colleagues.
• Financial wellbeing programmes.