Machine Learning Engineer (London Area)

La Fosse
London
6 days ago
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Machine Learning Engineer

  • London (Hybrid)
  • Up to £65,000
  • Greenfield work


One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools.


I’m looking for a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance.


What You’ll Do:

  • Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing.
  • Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain.
  • Help design GenAI pipelines and consensus mechanisms across a distributed agent system.
  • Work alongside DevOps to build scalable, automated ML deployment pipelines.
  • Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest, etc.).


Requirements:

  • 1–3 years of experience in ML or AI
  • Proficiency in Python, SQL, cloud platforms (Azure), and modern ML frameworks (TensorFlow, PyTorch).
  • Familiarity with generative AI, deep learning, and the full development lifecycle.
  • A proactive mindset and strong interest in innovative technologies.


Why Join?

  • Be part of a greenfield AI initiative with high visibility
  • Work in a fast-moving, collaborative environment
  • Help shape a platform being considered for national-level compliance adoption
  • Growth opportunities in a company that values curiosity and initiative


If you’re interested in finding out more, apply through the AD with your CV!


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