ML / AI Jobs in Canada
There are 575 open ML / AI jobs in Canada on freehire right now. 185 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$184,000 | CA$213,012 | 127 |
| 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 97%
- ai 84%
- python 72%
- pytorch 44%
- cloud 44%
- llm 33%
- deep-learning 33%
- tensorflow 30%
How the work is done
- Remote 100 · 17%
- Hybrid 78 · 14%
- Onsite 14 · 2%
Visa sponsorship offered in 67% of the 91 postings that state a position on it.
Seniority
- Senior 169
- Staff 46
- Lead 39
- Principal 22
- Intern 18
- C-level 8
Who is hiring
- 1000+ employees 163
- 501-1000 employees 40
- 51-200 employees 9
- 11-50 employees 8
- 201-500 employees 4
- 1-10 employees 2
Senior Backend Engineer — AI/ML, APIs, Equity
Builds core backend services in Python and PostgreSQL, collaborates with frontend teams, and ships product features in a fast-paced AI-focused company.
Senior Backend Engineer (.NET & AI/ML)
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Senior Machine Learning Engineer
Build and improve ML models for media and entertainment software, focusing on AI techniques like deep learning and geometric methods to enhance Autodesk’s creative tools.

Senior Machine Learning Engineer
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Machine Learning Engineer
Build and deploy AI models using Python and frameworks like PyTorch/TensorFlow to power real-world products, collaborating with engineers in a fully remote setting.
Machine Learning Engineer
Build and deploy AI-powered HR and finance systems using LLMs, RAG, and agentic AI to deliver scalable ML solutions and APIs for millions of users.
Lead ML/NLP Engineer for Wearables
Lead a team to build and deploy AI-powered features for wearable devices, focusing on ML/NLP to enhance intelligent assistants and user experiences.
Sr. Machine Learning Engineer, Content Shopping
Build and scale ML systems to extract structured product data from unstructured web content, improving Pinterest’s shopping search and recommendations using language models and web scraping.
Machine Learning Engineer
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
Senior Machine Learning Engineer
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Machine Learning Engineer, Safety and Customer Care AI
Build and fine-tune open-source LLMs for safety and customer-care agents using SFT, LoRA, and RLHF; design agentic workflows in LangGraph and ship production-grade AI systems handling millions of interactions.
Software Engineer/Developer (ML/AI Focused)
Develop ML/AI models and perception systems for next-gen agricultural harvesting equipment using C++/Python, computer vision, and ROS in a Linux/AWS environment.
Senior Machine Learning / Computer Vision Applied Scientist
Senior ML/Computer Vision scientist building 4D Vision™ systems for industrial robots, using PyTorch and AWS to deploy real-time perception models on factory floors.
Senior Machine Learning Engineer for AI Tax Solutions
Build and mentor ML systems for AI-powered tax research, using deep learning and generative AI to enhance product features.
Junior AI / Machine Learning Engineer (New Grad)
Build and deploy AI models for high-performance web apps and chatbots, integrating with Next.js/React and optimizing for speed and security.
Associate Software Developer-Machine Learning
Build and maintain open-source ML tools and libraries, package research into reusable components, and enable scalable data pipelines and APIs for production deployment.
AI/ML Scientist
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Remote Machine Learning Engineer - Real-World AI Solutions
Build and improve AI-powered products by developing models, analyzing data, and collaborating with software teams in a remote environment.