Senior Machine Learning Engineer

The position involves developing and maintaining the integrity layer of the label platform for risk machine learning models, ensuring data and label quality through automated audits. The engineer will define and monitor statistical and data quality metrics, working across the entire machine learning lifecycle from training to deployment. Collaboration with cross-functional teams such as Risk Intelligence and Data Engineering is essential for project success. Candidates should possess a STEM degree, strong statistical fundamentals, and experience with machine learning workflows using Python or Java. Knowledge of data pipelines, analysis, and visualisation tools is advantageous, as is experience with advanced ML architectures and streaming data systems. The role demands technical proficiency, analytical skills, and a commitment to data integrity, contributing to the development of innovative financial technology solutions.