AI Engineering Manager

Company: Funding Circle UK
Apply for the AI Engineering Manager
Location: London
Job Description:

About the Role

London (Hybrid) – 2 days in the office – Competitive Salary + Benefits.

You will be joining our AI and Machine Learning team at a pivotal moment, as we transition to become an AI‑native organisation. We are introducing this role to lead the delivery of our AI roadmap and build a high performing Data Science and Engineering culture.

Reporting to the Director of AI/ML, you will take ownership of people management and delivery across our technical team. You will manage a diverse group of Data Scientists, AI Engineers and AI Platform Engineers, ensuring they are supported and delivering value.

Responsibilities

  • 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 rigor.
  • 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.

Qualifications

  • 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.

Benefits

  • 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.
  • We also have award‑winning parental leave policies, supporting you through big life moments.

Ready to join a mission that matters? We’d love to chat.

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Posted: June 2nd, 2026