Senior Machine Learning Engineer

A senior machine learning engineer in London will support the development and maintenance of the label integrity layer for risk models, ensuring data quality and model accuracy. The role involves defining statistical metrics, designing automated audit processes, and working across model training, evaluation, and deployment pipelines. Candidates should possess strong mathematical, statistical, and programming skills, particularly in Python or Java, and have experience with data pipelines and analysis. Experience with machine learning frameworks, neural networks, NLP, or streaming data pipelines is advantageous. The position requires a degree in a quantitative field and practical knowledge of ML lifecycle management. Collaboration with cross-functional teams to enhance risk assessment models and data integrity is integral to this role.