Summary

Staff Applied ML Engineer in Wise's Risk Modelling team, building production models for financial crime detection using Python, PyTorch, deep learning, and graph methods. The role focuses on architecture strategy, real-time model deployment, and reusable ML pipelines, with a hybrid arrangement.

Responsibilities

• Design and ship production models for financial crime detection
• Define architecture strategy for risk modelling
• Build reusable experimentation-to-deployment pipeline patterns
• Evaluate foundation models and transaction embeddings
• Partner on model evaluation and experiment design
• Mentor engineers on ML fundamentals and architecture