Summary

Lead Wise's risk modelling engineering pillar for financial crime detection, owning model lifecycle automation from experimentation through deployment and monitoring. This hybrid London role combines ML systems architecture, production infrastructure, and building a team of ML engineers.

Responsibilities

• Architect declarative model deployment pipelines
• Establish reusable experimentation-to-production workflows
• Build automated retraining and drift detection
• Manage model thresholds and audit trails
• Recruit and lead senior ML engineers
• Define engineering standards and growth paths
• Make build versus consume architecture decisions