As of November 6, 2026, Jobsy lists 15 ml engineer jobs in Canada. The median advertised pay is $159,494 a year (from 7 postings). The most active employers are Spin Master Ltd, Spin Master Ltd. and Mercor. Skills often requested: ml, python, machine learning and collaboration.
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Candidates need hands-on LLM engineering experience, including work with agentic systems, plus strong statistics and machine learning skills in Python. A Bachelor's degree or higher in computer science or a related coding-based engineering field is required.
Spin Master Ltd: (TSX:TOY) is a leading global children's entertainment company, creating exceptional play experiences across its three creative centres: Toys,…
Candidates need applied safety engineering experience on a product with real users, and have built evals or classifiers for harmful content. Strong Python skills for production code in the moderation path are required, plus judgment on precision and recall tradeoffs.
Spin Master Ltd: (TSX:TOY) is a leading global children's entertainment company, creating exceptional play experiences across its three creative centres: Toys,…
Candidates need applied safety engineering experience on a product with real users, and have built evals or classifiers for harmful content. They need strong production Python skills, judgment on precision and recall tradeoffs, and good judgment under pressure.
Spin Master Ltd: (TSX:TOY) is a leading global children's entertainment company, creating exceptional play experiences across its three creative centres: Toys,…
Candidates need hands-on experience fine-tuning diffusion or generative image models, building training data pipelines with provenance requirements, and creating evaluations for generative output. Strong Python engineering and curiosity about creative work are also required.
Candidates need hands-on applied safety engineering experience on a product with real users, and have built evals or classifiers for harmful content rather than only using a vendor API. They need strong Python skills for production code, judgment on precision and recall tradeoffs, and good judgment under pressure.
Candidates need hands-on experience fine-tuning diffusion or generative image models, plus strong Python skills. Experience building training data pipelines with provenance requirements and evaluations for generative output is also needed.
Candidates need applied safety engineering experience on a product with real users, and have built evals or classifiers for harmful content. They need strong Python skills for production code and judgment on precision and recall tradeoffs.
8+ YOECandidates need a Master's or PhD in a related field and 8+ years of hands-on machine learning experience. Expertise in tree-based and neural network algorithms, custom loss functions, PyTorch and Python is required.
Candidates need strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Machine Learning, PySpark, Python and SQL. Proven experience leading high-performing engineering teams and strong stakeholder communication are also required.
2+ YOECandidates need at least 2 years of professional machine learning engineering experience, including production ML systems or LLM applications. They must regularly use AI coding agents such as Cursor or Claude Code and be able to judge the quality of model-generated ML code.
2+ YOECandidates need 2+ years of professional machine learning engineering experience, including production ML systems or LLM applications. They must regularly use AI coding agents such as Cursor or Claude Code and judge the quality of model-generated ML code.
2+ YOECandidates need 2+ years of professional machine learning engineering experience, including production ML systems or LLM applications. They must regularly use AI coding agents such as Cursor or Claude Code and judge the quality of model-generated ML code.
Candidates need senior experience building and deploying machine learning models, with strong engineering skills and MLOps practice. Experience mentoring engineers and working with product and design teams is expected.
Thinkpivot: Thinkpivot Talent Solutions provides executive recruiting for discerning clients with specializations in Sales, Marketing and Technology roles..
Candidates need experience with large-scale production ML systems and strong cloud skills, ideally on GCP. They must also have hands-on experience with ML frameworks, containers, data pipelines and strong software engineering.
3+ YOECandidates need 3+ years of machine learning work in robotics, controls or perception, strong Python and/or C++ skills, and experience with PyTorch. Experience in computer vision, reinforcement learning or multimodal AI, and with simulators such as Isaac Sim or MuJoCo, is valued.
The median advertised pay is $159,494 a year, across 7 postings that list pay. The lowest quarter pays under $159,494 and the top quarter over $159,494.
Who is hiring ml engineers?
Spin Master Ltd (3), Spin Master Ltd. (3), Mercor (3), Querentia Inc. (1) and Solid State AI (1).
What skills do ml engineer jobs ask for?
Postings most often mention ml, python, machine learning, collaboration, research, pytorch, safety engineering and microsoft azure.