AI Engineering Manager at Funding Circle | GBR | Rezi

AI Engineering Manager at Funding Circle

AI Engineering Manager

Funding Circle · GBR

1 months ago

AI Engineering Manager

Funding Circle · GBR

2 months ago
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About the Role

Join our AI and Machine Learning team at a pivotal moment as we transition to an AI-native organization. This role leads the delivery of our AI roadmap and builds a high-performing Data Science and Engineering culture. Reporting to the Director of AI/ML, you will own people management and delivery across the technical team, managing Data Scientists, AI Engineers, and AI Platform Engineers to ensure support and value delivery.

Responsibilities

  • Manage, mentor, and develop a cross-functional team (Data Science, Engineering and Platform Engineering)
  • Responsible for career growth, performance management, and building a coherent, collaborative team culture
  • Drive the transition of models from research into robust production systems, balancing speed of experimentation with engineering rigour
  • Oversee the delivery of reusable platform components for wider organization's GenAI adoption
  • Partner with Technical Leads to ensure team resources and environment support vision execution
  • Define operational procedures, managing the intersection between central AI/ML and domain teams
  • Ensure engineers and data scientists are supported in on-call rotations and production systems remain resilient

Requirements

  • Solid technical background in software, AI engineering or full stack data science
  • Comfortable with code-related tasks when needed
  • Proven experience building and managing high performing technical teams
  • Background in software engineering or AI/ML
  • Ability to engage in technical discussions
  • Understand the lifecycle of putting AI/ML models into production
  • Experience building or managing reusable platform components or developer tools
  • Understand how to manage the uncertainty of AI projects
  • Ability to unblock teams
  • Ability to keep stakeholders aligned on timelines and expectations

Skills

  • Python
  • AWS
  • Javascript
  • LLM frameworks
  • Agile delivery

Location

  • London
  • Hybrid

Work Type

  • Hybrid
  • 2 days in the office
  • Flexible-first employer
  • Best of both approach

Experience Level

  • Experienced Engineering Manager

Salary/Compensations

  • Competitive Salary

Benefits

  • Barista coffee
  • Subsidised Just Eat lunches
  • Tailorable benefit allowance
  • Private medical
  • Private dental
  • Health assessments
  • Access to a digital GP
  • Life assurance
  • Share schemes
  • Financial coaching
  • Dedicated annual learning allowance
  • Electric car scheme
  • Cycle-to-work scheme
  • Season ticket loans
  • Award-winning parental leave policies
  • Support for fertility treatments

About the Company

  • Mission to back UK small businesses.
  • Platform uses clever data to provide funding in minutes.
  • Fintech start-up energy with public company stability.
  • High-performing team that challenges and champions each other.
  • Businesses on platform generated £7.2bn for the UK economy last year.
  • Recognized as one of The Sunday Times Best Companies to Work For 2026.