Summary

Senior machine learning engineer role at Wise focused on label integrity, statistical quality, and production machine learning infrastructure for financial crime risk models. The role uses Python or Java, advanced SQL, machine learning architectures, and Kafka in a hybrid working arrangement.

Responsibilities

• Build and maintain the label platform integrity layer
• Define and monitor label quality metrics
• Design automated audits for label quality
• Train and evaluate machine learning models
• Deploy machine learning pipelines end to end
• Analyze statistical behavior in complex data
• Collaborate across risk, data engineering, and product