As of November 7, 2026, Jobsy lists 5 ai ml engineer jobs in Toronto, ON. The most active employers are Conviva, Evismart and Future Works. Skills often requested: ml, machine learning, python and decision making.
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Candidates need a strong foundation in machine learning, deep learning, probability, statistics, and algorithms, plus hands-on model development experience from research or industry. A PhD in a quantitative field is preferred, along with programming skills in Python or C++ and experience with PyTorch or TensorFlow.
Candidates need a strong understanding of how LLMs work and experience building LLM-powered systems in production. They also need solid backend skills, prompt and tool-calling experience, and comfort using AI coding tools.
2+ YOECandidates need at least two years of professional machine learning engineering experience, including production ML systems or LLM applications. They must regularly use AI coding agents and judge model-generated implementations and tradeoffs.
6+ YOECandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.
6+ YOECandidates need a technical degree, 6+ years in machine learning, data or software engineering, and 3+ years building AWS data pipelines. Strong Python, production AWS and MLOps experience, and Generative AI or knowledge graph skills are essential.