Senior Machine Learning Engineer

This role involves developing and maintaining the data integrity layer of machine learning models by defining quality metrics, monitoring label quality, and designing audit processes. The engineer will collaborate with cross-functional teams including risk intelligence and data engineering to improve model accuracy and reliability. Key responsibilities include end-to-end ML pipeline management, statistical analysis, and automation of data quality assessments. Strong programming skills in Python or Java, experience with data pipelines, and a background in quantitative STEM fields are required. Knowledge of ML frameworks, data visualisation tools, and real-time data streaming is highly desirable. The position suits candidates with a track record of applied statistical analysis in complex data environments.