Summary

Wise is hiring a staff applied ml engineer to lead production deep learning and financial crime detection systems. The role focuses on architecture strategy, real-time model serving, foundation models, graph methods, and reusable ml pipelines in a hybrid working environment.

Responsibilities

• Design and ship production deep learning models
• Define architecture strategies for risk modelling
• Build reusable experimentation-to-deployment ml pipelines
• Evaluate foundation models and transaction embeddings
• Optimise real-time model serving latency and throughput
• Partner on model evaluation and causal measurement
• Mentor engineers and data scientists