ML / AI Jobs in Canada
There are 574 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 68% of the 90 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 161
- 501-1000 employees 40
- 51-200 employees 9
- 11-50 employees 8
- 201-500 employees 4
- 1-10 employees 2
Software Architect, AI/ML
Design and build cloud-native AI agents and ML systems for Autodesk’s PDM/PLM workflows, focusing on LLM, RAG, MCP, and agentic architectures in production.
Machine Learning Engineer
Build and deploy LangGraph-based agentic AI systems in Python to automate retail workflows, using LLMs, vector databases, and MLOps tools like MLflow and Databricks.
Senior Machine Learning Operations Developer: AI/ML Platform
Build and maintain the MLOps infrastructure that deploys and monitors Autodesk’s AI/ML models, automating pipelines with Kubernetes, Terraform, and CI/CD while enforcing security and governance.
Amazon Machine Learning Engineer
Design and deploy large-scale AI/ML systems, including LLMs and generative AI, for Amazon’s customer service platform, focusing on scalable pipelines, model serving, and governance.
Amazon Senior Machine Learning Compiler Engineer
Build and optimize a deep-learning compiler stack (AWS Neuron) that converts PyTorch/TensorFlow models into high-performance code for AWS’s custom ML accelerators (Inferentia/Trainium).
Amazon Software Development Manager, Machine Learning Data Infrastructure
Lead a team building core ML data infrastructure, including feature stores, pipelines, and streaming systems to power Amazon’s bot detection models at scale.
Senior Applied Artificial Intelligence/Machine Learning Scientist
Build AI/ML systems to optimize paid marketing, recommender engines, and LTV predictions for Faire’s wholesale ecommerce platform, leveraging LLMs and reinforcement learning.
Senior Machine Learning Engineer (Remote)
Build and scale AI models that power personalized marketing content for global brands using deep learning, transformers, and multimodal systems.
Applied Artificial Intelligence/Machine Learning Engineer
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Senior Machine Learning Operations Developer, Inference
Build and maintain the MLOps infrastructure that deploys and monitors AI/ML models powering Autodesk’s products, using Kubernetes, CI/CD, and cloud platforms.
Deep Learning Performance Software Engineer, LLM Inference
Build and optimize GPU-powered inference systems for large language models, improving serving efficiency and performance through kernel tuning and novel algorithms.
Machine Learning Engineer
Build AI-powered search, recommendations, and generative features for Adobe’s creative tools using Python, LLMs, and multimodal models to enhance user creativity.
Junior Machine Learning Engineer
Develops and deploys AI/ML models (LLMs, agentic AI, deep learning) for scientific testing and data-driven business solutions in a hybrid team environment.
Adversarial Machine Learning Engineer, Red Teaming
Red-team adversarial ML engineer who probes AI models, agents, and pipelines for security flaws using jailbreaks, prompt injection, and data poisoning to harden next-gen AI systems.
Senior Machine Learning Engineer
Build and deploy scalable, secure machine learning systems and recommender engines using Python, PyTorch, and AWS SageMaker to power Thomson Reuters’ AI-driven products.
Adversarial Machine Learning Engineer - Red Teaming
Designs and trains ML/SLMs to probe and harden AI systems against adversarial attacks like jailbreaks, prompt injection, and data poisoning, then translates findings into actionable remediation steps.