Senior Machine Learning Engineer

The role involves developing and maintaining the integrity layer for machine learning label platforms, ensuring accurate data for model learning processes. Responsibilities include defining statistical metrics, designing automated monitoring systems, and collaborating with cross-functional teams on model evaluation and deployment. Candidates need a background in STEM, strong statistical fundamentals, and experience with ML lifecycle and programming in Python or Java. Experience with data pipelines, data analysis, and visualisation tools is essential, while familiarity with streaming data and advanced ML architectures is a plus. The position requires a methodical approach to data quality assurance and teamwork skills to coordinate across departments.