Summary

Senior machine learning engineer role at Wise focused on building the label integrity layer for risk and financial crime ML models. The hybrid role uses Python or Java, advanced SQL, statistical analysis, data pipelines, model deployment, and technologies such as Kafka and specialized neural network architectures.

Responsibilities

• Build and maintain the label platform integrity layer
• Define and monitor statistical quality metrics
• Design automated audits for label quality
• Train, evaluate, and deploy machine learning models
• Build static data pipelines and analyse datasets
• Conduct deep-dive analysis of statistical behaviour