As of November 6, 2026, Jobsy lists 46 machine learning engineer jobs in Toronto, ON. The median advertised pay is $85 an hour (from 5 postings). The most active employers are Tiger Analytics Inc., The Toronto-Dominion Bank (Canada) and Affirm. Skills often requested: machine learning, ml, python and pytorch.
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Wiser Solutions
7+ YOECandidates need 7+ years in ML or AI engineering with a record of shipping and owning production systems. They need hands-on experience with model training and evaluation, LLMs, RAG, embeddings, vector databases, MLOps tooling and AWS, plus strong Python.
AWS SageMaker, AWS Bedrock, MLflow, Weights & Biases, Airflow, Python
Randstad Canada
Candidates need advanced hands-on experience with Azure Machine Learning, MLOps, CI/CD and containerized deployment, plus strong Python and production ML engineering skills. Deep knowledge of ML algorithms, statistics and data drift is also required.
Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code
Altis
Candidates need extensive hands-on experience deploying machine learning models in production, plus advanced skills in Azure Machine Learning, MLOps and model monitoring. Strong Python and SQL skills, a solid grounding in statistics and ML algorithms, and clear communication with stakeholders are also needed.
Azure Machine Learning, Azure AI Foundry, Databricks, Power BI, Power Automate, VS Code
Scotiabank
8+ YOE3+ MgmtCandidates need 8+ years of progressive software, data or technology delivery experience, including 3+ years leading technical teams, and experience delivering enterprise solutions in regulated environments. Strong knowledge of SDLC, Agile, DevOps and CI/CD, plus hands-on familiarity with cloud, SQL/Python/Java/.NET, ETL tools and data governance, is expected.
Azure DevOps, Git, Azure Data Factory, Databricks, Informatica, DataStage
Scribd, Inc.
5+ YOECandidates need 5+ years as a professional ML or software engineer, with production recommender systems experience, large-scale data processing and online experiment design. A Bachelor's or Master's in Computer Science or equivalent experience is required.
Python, Spark, Databricks, BigQuery, Kubernetes, Vertex AI
Zurich Insurance Company Ltd.
Zurich Insurance Company Ltd. needs candidates with Python and SQL skills, software engineering basics (Git, APIs, testing, CI/CD), and an understanding of the machine learning lifecycle. Experience with cloud platforms and production-ready solutions is expected, with depth varying by level and specialization.
Databricks, MLflow, Apache Spark, PySpark, Azure Machine Learning, Azure DevOps
Mercor
2+ YOECandidates need at least 2 years of professional machine learning engineering experience, including production ML systems or LLM applications. They must already use AI coding agents regularly and be able to judge the quality of model-generated ML code.
Cursor, Claude Code, Codex, Windsurf, Gemini CLI
Mercor
2+ YOECandidates need at least 2 years of professional machine learning engineering experience, including production ML systems or LLM applications. They must already use AI coding agents regularly and be able to judge the quality of model-generated ML code.
Cursor, Claude Code, Codex, Windsurf, Gemini CLI
Mercor
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 work.
Cursor, Claude Code, Codex, Windsurf, Gemini CLI
ServiceNow
5+ YOECandidates need 5+ years of software engineering experience and strong Python skills, plus solid knowledge of algorithms, system design and testing. Experience with ML and MLOps tools, mission-critical systems, and working directly with customers is expected.
Python, MLflow, Weights & Biases, SageMaker, Vertex AI, AzureML
Invision AI
Candidates need a track record of shipping production computer vision models and strong Python skills, with experience in PyTorch, TensorFlow or scikit-learn. They also need experience optimizing models for edge devices, sound software engineering practices, and the legal right to work in Canada.
PyTorch, TensorFlow, scikit-learn, Docker, ONNX Runtime, TensorRT
Invision AI
Candidates need a track record of shipping production computer vision models, strong Python skills, and experience with PyTorch, TensorFlow or scikit-learn. Working knowledge of embedded systems and edge optimization is required, and candidates must be legally entitled to work in Canada.
PyTorch, TensorFlow, scikit-learn, Docker, ONNX Runtime, TensorRT
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Candidates need experience in machine learning, big data analytics, software engineering and software product design. They also need strong critical thinking, decision making and industry knowledge, and the ability to work independently on ambiguous problems.
Machine learning, Research, Cybersecurity, Problem solving, Decision making, Think creatively
ACV Auctions: ACV is a high growth technology company that provides a vibrant digital marketplace for wholesale vehicle transactions and data services.
5+ YOECandidates need a graduate degree (MS or PhD) in a computationally intensive field or equivalent experience, plus 5+ years of computer vision work. They must know PyTorch, OpenCV or TensorFlow with Python and SQL, and have cloud, Docker and Kafka experience.
PyTorch, OpenCV, TensorFlow, Kafka, Docker, AWS
ACV Auctions: ACV is a high growth technology company that provides a vibrant digital marketplace for wholesale vehicle transactions and data services.
3+ YOECandidates need a graduate degree (MS or PhD) in a computationally intensive field or equivalent experience, plus 3+ years of computer vision work. Required skills include PyTorch, OpenCV or TensorFlow, Python and SQL, cloud backend engineering on AWS or GCP with Docker microservices, real-time inference optimization, and streaming pipelines such as Kafka.
PyTorch, OpenCV, TensorFlow, Kafka, Docker, Kubeflow
Architech Solutions
20+ YOECandidates need experience with customer churn prediction, Python or R, SQL, Databricks and machine learning frameworks. Strong feature engineering, large-scale data skills, statistical modelling and clear communication with technical and non-technical audiences are also needed.
Python, R, SQL, Databricks, Scikit-learn, TensorFlow
Urban Ridge Supplies
3+ YOECandidates need 3+ years of production ML or data-heavy system experience, including shipping and owning models after launch. Real ranking or relevance experience, strong Python, and rigorous A/B testing skills are required.
Python, MLflow, Kubernetes, Spark
Urban Ridge Supplies
Candidates need hands-on experience with machine learning in production, and preferably with LLM tools such as prompt engineering, RAG or agent frameworks. Experience with pricing, marketplace or fraud problems, cloud ML services, and independently scoping projects is an asset.
AWS SageMaker, AWS Bedrock, LangChain, LangGraph
Staffmax
Candidates need strong hands-on Python and SQL skills, experience deploying ML models in cloud platforms, and working knowledge of Azure ML, Databricks, MLflow and CI/CD. Independent work and collaboration with data scientists and engineers are expected.
Azure ML, Databricks, MLflow, Python, SQL
Tiger Analytics Inc.
5+ YOECandidates need a bachelor's degree or higher in computer science or a related field and 5+ years of work experience. They must know Python, Spark, Hadoop and Docker, and be able to run production pipelines, containers and cloud environments.
Python, Spark, Hadoop, Docker, Kubernetes, Airflow
The median advertised pay is $85 an hour, across 5 postings that list pay. The lowest quarter pays under $77.50 and the top quarter over $85.
Tiger Analytics Inc. (6), The Toronto-Dominion Bank (Canada) (4), Affirm (3), Mercor (3) and Jumio (3).
Postings most often mention machine learning, ml, python, pytorch, research, computer science, tensorflow and aws.
19 companies