ML Engineering Manager

Harnham - Data & Analytics RecruitmentLondonreedpublished 10/27/2026
Must-have:PythonAWSCloudAIFinTechSeniorLeadHybrid

About the company

Our client is a fast-growing fintech operating within the embedded finance space. Working with some of the world's largest commerce and payments platforms, they've helped fund hundreds of thousands of businesses globally. Following continued investment into Data and Engineering, they're now looking for a senior ML leader to scale their Machine Learning Engineering capability.

Your tasks

  • Lead and mentor a team of ML Engineers whilst remaining technically hands-on
  • Drive the development of ML infrastructure, MLOps processes and platform reliability
  • Support the deployment, monitoring and governance of machine learning models in production
  • Partner with Data Science, Risk and Engineering teams to deliver business-critical solutions
  • Help define the future direction and growth of the ML Engineering function
  • Significant influence over platform architecture, standards and best practices

Requirements

  • Previous leadership experience within ML Engineering, MLOps or ML Platform teams
  • Strong software engineering background with Python and cloud technologies
  • Experience owning ML platforms and production machine learning environments
  • Track record of deploying, monitoring and maintaining ML systems at scale
  • Ability to balance hands-on engineering with people management responsibilities
  • Experience with AWS, Snowflake, MLflow, Airflow or similar tooling would be advantageous

What we offer

  • £110,000 - £125,000 base salary
  • Annual bonus
  • Hybrid working model
  • Private medical insurance
  • Enhanced family benefits
  • Wellness and lifestyle benefits
  • Regular team events

How to apply

Please register your interest by sending your CV to Harry Lack through the 'Apply' link.

Other

LEAD ML ENGINEERING MANAGER · £125,000 + BONUS LONDON This is an exciting opportunity to join one of the UK's leading fintech scale-ups in a role where Machine Learning sits at the heart of the business. You'll lead a growing ML Engineering function while remaining hands-on, helping shape the future of a platform that directly drives lending decisions and revenue generation.