Machine Learning Engineer II building credit risk models at scale.
Develop and deploy production machine learning models that drive credit decisions and default prediction. You'll work across data pipelines, feature engineering, and decisioning systems, collaborating with engineering and product teams. Requires 2+ years of ML experience, strong Python/SQL skills, and familiarity with distributed systems and frameworks like XGBoost or Kubeflow.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 17 October 2026 · InsideJobs links you to the original posting.