Azure Machine Learning and MLOps expertise define this contract role in Toronto. Work hybrid, with three onsite days weekly, from experimentation through production.This Machine Learning Engineer contract runs from November 23, 2026, through May 23, 2027. The role requires Python, Azure Machine Learning, Microsoft Foundry, and reliable production engineering.

You will work with CI/CD, containers, APIs, automation, deployment, monitoring, and observability.Key Responsibilities: Move machine learning models from experimentation into production environmentsBuild CI/CD, container, API, and automation workflowsDeploy, monitor, and troubleshoot production machine learning modelsManage model drift, retraining, and performance optimizationApply classification, regression, clustering, and feature engineeringRequirements: Advanced hands-on Azure Machine Learning and Microsoft Foundry experienceAdvanced MLOps experience with deployment and observabilityStrong Python and machine learning engineering skillsExperience with SQL, Power BI, Databricks, Git, and JiraUnderstanding of statistical methods and model evaluationApply Azure, Python, and MLOps expertise to production machine learning engineering in Toronto’s hybrid contract workplace.

📌 Azure Machine Learning Engineer (Winnipeg)
🏢 Bevertec
📍 Winnipeg