Senior Machine Learning Engineer

The role involves developing and maintaining the label integrity layer for risk machine learning models, ensuring data quality and robustness through monitoring and audit processes. The engineer will work across the ML lifecycle, from training to deployment, using advanced statistical and technical skills, with a focus on Python or Java and SQL. They will collaborate with cross-functional teams including risk, data engineering, and product units to optimise model performance and data pipelines. Strong mathematical and statistical knowledge is essential, along with experience in model evaluation and real-time data streaming. The position demands a background in quantitative STEM disciplines and familiarity with machine learning architectures, NLU, or NLP technologies. The candidate should also possess excellent problem-solving and communication skills to thrive in an autonomous, innovative team environment.