Senior Machine Learning Engineer

A senior machine learning engineer in London will be responsible for developing and maintaining the integrity layer of a label platform for risk models, ensuring label quality and statistical robustness, and deploying machine learning pipelines. They will define and monitor key metrics to assess data quality and craft automated processes for ongoing label evaluation, collaborating cross-functionally with risk, data engineering, and product teams. Required skills include advanced knowledge of statistical analysis, experience across machine learning lifecycle stages, proficiency in Python or Java, and solid experience with data pipelines and analysis. Candidates should hold a STEM degree and demonstrate expertise in model evaluation, deployment, and data fundamentals. Preferred experience encompasses competitive ML environments, advanced architectures like NLP or GNNs, real-time data pipelines, and domain knowledge in fintech or tech sectors.