Full‑Stack Machine Learning Engineer – Greater London

A full‑stack machine learning engineer develops and deploys ML-powered services, tools, and applications for fraud and identity analytics. They work across backend services, model‑serving pipelines, and user interfaces, creating inference APIs, microservices, and data pipelines. The role involves building tools for model evaluation and integrating ML models into real-time production systems. Automated workflows for training, monitoring, and evaluation are key components, along with contributing to AI‑assisted development tools. Candidates should have strong Python and Java skills, experience with data platforms like Snowflake, and knowledge of ML model deployment, with an emphasis on secure DevOps practices.