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Machine Learning Engineer II (Underwriting ML)

Permanentremote3–5 yrs📍 Remote Canada, 🇨🇦 Canada🗣 English

Build and scale machine learning models for real-time transaction underwriting decisions.

You'll build and scale machine learning models that power real-time transaction underwriting decisions using Python, PyTorch, and tools like LightGBM, XGBoost, and Spark. This is a mid-level permanent role working fully remote from Canada, requiring fluency in English and full-time commitment. You'll work with MLOps infrastructure including Kubeflow, Airflow, and MLflow to deploy and manage models at scale.

Tech stack
PythonPyTorchLightGBMXGBoostSparkKubeflowAirflowMLflow
Rate
Not stated by the agency
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Found at a specialist agency · listed 7 August 2026 · InsideJobs links you to the original posting.