Full‑Stack Machine Learning Engineer – Greater London

An organisation seeks a full‑stack machine learning engineer to develop and deploy ML‑powered services, tools, and applications supporting fraud and identity analytics. The role involves building ML inference APIs, microservices, data pipelines, and full‑stack tools for model evaluation. The engineer will integrate ML models into real‑time production systems and implement automated workflows for training, monitoring, and evaluation. Collaboration with data scientists, architects, and QA teams is essential, along with ownership of DevOps and security standards. The position requires strong Python and Java skills, experience with data‑platforms, and familiarity with model serving and feature engineering, reflecting a need for independent execution and technical expertise.