ML / AI Jobs in Canada
There are 348 open ML / AI jobs in Canada on freehire right now. 86 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$158,000 | CA$183,000 | CA$203,250 | 53 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- machine-learning 96%
- ai 82%
- python 67%
- llm 43%
- pytorch 42%
- cloud 40%
- deep-learning 32%
- tensorflow 29%
How the work is done
- Remote 109 · 31%
- Hybrid 59 · 17%
- Onsite 34 · 10%
Visa sponsorship offered in 60% of the 35 postings that state a position on it.
Seniority
- Senior 99
- Intern 39
- Staff 19
- Principal 11
- Lead 10
- Middle 9
Who is hiring
- 1000+ employees 37
- 501-1000 employees 17
- 51-200 employees 4
- 1-10 employees 1
- 11-50 employees 1
- 201-500 employees 1
Machine Learning Engineer
Manulife's bold ambition is to become a digital, customer-first leader. To achieve this, we've made significant investments in Advanced Analytics and AI capabilities. We are seeking an innovative and experienced…
Senior AI/ML Engineer
Senior AI/ML Engineer owning the conversational AI behind Limbic's clinical assessment product for US mental healthcare providers: improving safety checks, productionizing models against clinical KPIs, and building evaluation harnesses for LLM agents. Python/TypeScript, cloud and containers; remote in Canada (no visa sponsorship).
Machine Learning Engineer (Staff & Principal)
Staff/Principal Machine Learning Engineer at Tubi (hybrid, Toronto) building recommendation and personalization systems for a free streaming service with 100M+ monthly viewers. Day to day: designing algorithms, building end-to-end ML pipelines, and training/deploying models at scale using TensorFlow/PyTorch.
Senior Machine Learning Engineer
Senior ML Engineer designing and deploying recommendation systems, search algorithms, and full-stack ML pipelines at scale for Tubi's free streaming platform.
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
A Platform Engineer deploys and manages AI/ML applications (e.g., LlamaIndex Cloud, KDB.AI) on Kubernetes across Dev/QA/Prod, building GitOps deployment pipelines with Flux CD, Helm, Vault, and GitHub Actions, while administering clusters, databases, and production monitoring.
Applied Machine Learning Scientist II
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $125,500 - $154,000 CAD The pay details posted reflect a temporary market premium…


Senior Machine Learning Engineer, Recommendations
Build and deploy ML models for ride-sharing recommendations using deep learning frameworks like PyTorch/TensorFlow, scaling to petabyte datasets to directly impact Lyft’s core business.


Machine Learning Engineer, Safety and Customer Care AI
Build and fine-tune open-source LLMs and agentic AI systems for Lyft’s Safety and Customer Care team, turning support interactions into safe, scalable solutions using LangGraph and post-training methods.


Software Engineer Intern, Machine Learning (Summer 2027 - Toronto)
Lyft is hiring a Summer 2027 Machine Learning intern in Toronto to help design, train, and test ML models and turn them into production pipelines at petabyte scale. The role requires Python, ML libraries like PyTorch/TensorFlow, and study at a Canadian university, working hybrid (3 days/week in-office).
Junior Data & Machine Learning Specialist (Contract)
6-month contract (with possible full-time conversion) at a fitness equipment company building a training app: you'll turn wearable sensor recordings into trustworthy, traceable datasets and run reproducible ML baselines and experiments. Daily work in Python, SQL and Git using Claude Code; hybrid role based in Calgary, ~3 days/week on-site.
Computer Vision Engineer
MobSquad is hiring a Computer Vision Engineer in Toronto to build CV pipelines and segmentation/detection models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery, supporting an applied AI lab client. Day-to-day work spans deep learning experiments, ML infrastructure, deployment/inference optimization, and reproducing papers from venues like CVPR and NeurIPS using Python and Tenso



Machine Learning Engineering Intern
Build and deploy AI models for contact-center agents, focusing on real-time knowledge retrieval and generative responses using Python and deep learning frameworks.



Senior Machine Learning Engineer
Build and deploy next-gen AI agents and real-time agent-assist systems using LLMs, RAG, and multi-step workflows to power customer-experience platforms for enterprises like United Airlines and Marriott.
Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - CAN)
Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first…
Machine Learning Engineer
Machine Learning Engineer at Wave (financial software for small businesses) who builds, trains, and deploys ML models and scalable pipelines/platforms into production. Core stack is AWS (SageMaker, Spark/Glue), Terraform, Airflow orchestration, and MLOps tooling like MLflow/Kubeflow, with a focus on governance, observability, and cost-efficient ML systems.


Senior NLP Engineer
Senior NLP Engineer at Behavox's Toronto office (hybrid, 1 day/week onsite) building AI-powered risk and compliance features over multilingual financial communications data. Day to day: fine-tuning and evaluating NLP/LLM models (RAG, embeddings), designing the databases and data models behind NLP pipelines, and taking solutions to production on AWS/GCP.
Senior AI - Computer Vision Engineer
Develops 3D computer vision and spatial AI systems for wearable AR tech in construction, focusing on scene understanding, BIM integration, and embedded deployment to enable real-time object recognition and quality assurance on-site.