Full‑Stack Machine Learning Engineer – Greater London

The role involves building and deploying ML-powered services, tools, and full-stack applications focused on fraud prevention and identity analysis. The engineer will develop ML inference APIs, microservices, and data pipelines, as well as create tools for model evaluation and transparency. Integrating ML models into real-time production systems and automating training, monitoring, and evaluation processes will be key responsibilities. Candidates should have extensive software engineering experience, proficiency in Python and Java, and familiarity with data platforms like Snowflake. Knowledge of ML model serving, feature engineering, and DevOps practices are essential for success. Collaboration with data scientists, architects, and QA teams is also expected in this technically versatile role.