Senior Machine Learning Engineer

A senior machine learning engineer in London is responsible for developing and maintaining the integrity layer of label platforms for risk models, ensuring data and label quality through monitoring and automated audits. They work across model training, evaluation, and deployment, collaborating with risk, data engineering, and product teams. The role demands strong skills in statistical analysis, machine learning lifecycle, programming in Python or Java, and data pipeline construction. Candidates should have a STEM degree and experience in statistical analysis, model deployment, and data visualisation tools. Additional preferred skills include experience with ML architectures like GNNs and NLP, streaming data pipelines, and sector-specific knowledge in fintech or e-commerce.