Manage, mentor, and develop a cross-functional team (Data Science, Engineering and Platform Engineering). You will be responsible for their career growth, performance management, and building a coherent, collaborative team culture
Drive the transition of models from research into robust production systems, ensuring we balance speed of experimentation with engineering rigour
Play a key role in our AI infrastructure development by overseeing the delivery of reusable platform components that allow the wider organisation to adopt GenAI safely and efficiently
Partner closely with our Technical Leads, who focus on architecture and craft excellence and ensure the team has the resources and environment to execute that vision effectively
Define how we operate, managing the intersection between our central AI/ML team and the domain teams we support. You will also ensure our engineers and data scientists are supported in their on-call rotations and that our production systems remain resilient

Proven experience building and managing high performing technical teams
A background in software engineering or AI/ML and can hold your own in technical discussions. You are familiar with our stack (Python, AWS, Javascript, LLM frameworks) and understand the lifecycle of putting AI/ML models into production
Experience building or managing the build of reusable platform components or developer tools is highly valuable
Experienced in agile delivery and understand how to manage the unique uncertainty of AI projects. Able to unblock teams and keep stakeholders aligned on timelines and expectations.

Flexibility: We provide a benefit allowance you can tailor to your own life and family.
Health: This includes private medical and dental, health assessments, and access to a digital GP.
Wealth: We offer life assurance, share schemes, and financial coaching.
Development: You get a dedicated annual learning allowance to help you level up.
Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.
Award-winning parental leave policies.

AI Engineering Manager

Key skills