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Senior ML Engineering Team Lead - Financial Crime

Wise Germany·135,000 – 175,000 GBP

Primary stack

Machine Learning

Job description

About the Position

Wise is seeking a Senior ML Engineering Team Lead - Financial Crime to join our team. As part of our mission to make international money transfers easier and more affordable, you will lead the development and scaling of machine learning models for fraud detection.

Responsibilities

  • Architect the declarative pipeline for deploying models
  • Establish a reusable path from research to production
  • Build infrastructure for automated retraining and model operations
  • Recruit, lead, and mentor a team of ML engineers
  • Define and navigate partnerships with key platform teams

Requirements

  • Experience leading or building an ML Engineering or model lifecycle automation team
  • System-level and mathematical depth in ML systems
  • Experience in high-throughput environments with strict latency constraints
  • Track record of hiring and developing senior engineers
  • Ability to navigate ambiguity and make architecture-level decisions
  • Strong technical background in deep learning, ML systems, and production infrastructure

Nice to Have

  • Experience at a tier-1 fintech or payments company
  • Experience with graph-based methods (GNNs, entity resolution) in production
  • Foundation model fine-tuning or LLM evaluation experience
  • Experience establishing ML engineering practices in transitioning organizations

We Offer

  • Starting salary: £135,000 - £175,000 + RSUs
  • Wise Benefits

About the Company

Wise is a global technology company building the best way to move and manage the world’s money. We are on a mission to make international money transfers easier and more affordable. Our team is diverse, equitable, and inclusive, and we celebrate our differences.

Job Location

  • City: London
  • Country: United Kingdom
  • Remote: Available

How to Apply

Interested? Find out more:

For more information about working at Wise, visit Wise.Jobs.

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