ML Platform Engineer (Financial Crime)

Описание Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale. We're looking for a Senior ML Platform Engineer to build this platform from the ground up.

Задачи • Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code • Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API • Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates • Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance • Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations • Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance

Требования • Experience building ML platform infrastructure in…