Senior Machine Learning Engineer

Wise seeks a senior machine learning engineer to focus on quality and monitoring of labels for risk models, building and scaling integrity layers, developing audit processes, and collaborating across teams for model evaluation and deployment. The role requires strong mathematical, statistical, and programming skills, experience with ML lifecycle management, and knowledge of data pipelines and visualisation tools. Candidates should hold a STEM degree and have a proven track record in applying analytics to complex data environments, with optional experience in advanced ML architectures or real-time data pipelines. The position involves working with cross-functional teams to improve data quality and model reliability while supporting business risk and compliance objectives. This role is suited for professionals with a keen eye for statistical detail and practical experience in ML deployment, committed to maintaining high standards of data integrity in dynamic environments.