Machine Learning Engineer (London)

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Direct message the job poster from La FosseData Science, AI and Machine Learning Consultant at La Fosse
Machine Learning EngineerLondon (Hybrid)Up to 65,000One of La Fosses 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.Im looking for a Machine Learning Engineer to join a small and 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 systemswith real-world impact on financial security and compliance.What Youll 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:13 years of experience in ML or AIProficiency 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 visibilityWork in a fast-moving, collaborative environmentHelp shape a platform being considered for national-level compliance adoptionGrowth opportunities in a company that values curiosity and initiativeIf youre interested in finding out more, apply through the AD with your CV!Machine Learning EngineerSeniority level
Seniority level
Mid-Senior levelEmployment type
Employment type
Full-timeJob function
Job function
Information Technology, Finance, and EngineeringIndustries
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