ML / AI Jobs in Canada
There are 571 open ML / AI jobs in Canada on freehire right now. 183 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| CAD | year | CA$151,700 | CA$183,500 | CA$212,144 | 126 |
| USD | year | $178,500 | $200,000 | $227,400 | 17 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 96%
- ai 84%
- python 72%
- cloud 44%
- pytorch 44%
- llm 34%
- deep-learning 33%
- tensorflow 30%
How the work is done
- Remote 100 · 18%
- Hybrid 77 · 13%
- Onsite 13 · 2%
Visa sponsorship offered in 67% of the 89 postings that state a position on it.
Seniority
- Senior 169
- Staff 45
- Lead 39
- Principal 22
- Intern 18
- C-level 8
Who is hiring
- 1000+ employees 160
- 501-1000 employees 40
- 51-200 employees 9
- 11-50 employees 8
- 201-500 employees 4
- 1-10 employees 2
Machine Learning Engineer
Application Deadline: 08/21/2026 Address: 33 Dundas Street West Job Family Group: Data Analytics & Reporting Researches, builds, and implements scalable artificial intelligence systems capable of learning and…
AI/ML Infrastructure Engineer
Build and maintain the infrastructure that powers AI/ML workloads, including GPU clusters, Kubernetes, and observability stacks for large-scale systems.

Scribd Machine Learning Platform Engineer Role
Build and maintain Scribd’s ML platform, designing services and tools that power AI features for millions of users globally.
Machine Learning/Operations Research Platform Engineer
Build and deploy ML/optimization models in C++/Python to power Kinaxis’s AI-driven supply-chain planning platform, ensuring scalability and correctness for global customers.
Member of Technical Staff - Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for post-training research on large language models, including compute, scheduling, and evaluation systems using PyTorch/JAX and cloud platforms.
AI/ML Engineer
Develops and deploys 3D computer-vision models to detect doors, windows, and roof facets from equirectangular and satellite images for real-estate digitization.
Staff AI/ML Engineer
Lead AI/ML engineering strategy at Lululemon, defining standards for model development, training infrastructure, and GenAI systems while mentoring senior engineers and driving enterprise-scale AI solutions.
Data and Machine Learning Engineering Lead
Lead a team to build and scale data and ML pipelines for a global healthcare company, focusing on ETL, cloud data platforms, and AI-driven insights to improve patient outcomes.
Senior Data/ML Engineer — Databricks Forecasting Platform | Remote
Senior Data/ML Engineer to refactor and improve a live Databricks-based time-series forecasting platform, moving logic into reusable Python modules, adding testing and observability, and raising engineering standards.
Data ML Engineer
Build and analyze data pipelines and ML models using SQL, Python, and Java/Scala to deliver insights for clients in an IT consulting firm.
ML Engineer, Healthcare Data Pipelines (Hybrid)
Builds and maintains ML-powered data pipelines and anomaly-detection services for healthcare claims and pharmacies using Python, FastAPI, and unsupervised learning.
Senior Machine Learning Engineer, Causal & Decision Systems
Builds and deploys advanced ML systems focused on causal inference and decision-making, using techniques like constrained optimization, contextual bandits, and policy learning to automate real-world decisions while managing uncertainty and monitoring performance in production.
Senior Machine Learning Engineer, Causal & Decision Systems
Build closed-loop decision systems using causal ML to optimize pricing, inventory, and promotions for consumer businesses, with continuous learning from interventions.
MLOps Engineer - DATABRICKS, Machine Learning, DEVOPS, CI/CD
Build and maintain MLOps pipelines on Databricks and Azure ML for a financial-sector client, automating model training and CI/CD deployments.
Senior Applied AI/ML Developer (AutoCAD & Civil 3D)
Build AI-powered features for AutoCAD and Civil 3D, turning cutting-edge models into real customer workflows used by architects and engineers.
Senior AI/ML Engineer — Embodied Data for Driving
Senior AI/ML Engineer developing data-centric models to improve autonomous driving performance using real and synthetic data for safe, reliable behavior.