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
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX is seeking a Senior Applied Machine Learning Engineer to lead the architecture and development of predictive maintenance and asset intelligence systems. The role involves building end-to-end ML pipelines, leveraging LLMs and IoT data to optimize industrial operations, and mentoring a team of developers.
Senior Machine Learning Engineer
The Senior Machine Learning Engineer will design and deploy production-ready AI solutions, including LLMs and agentic workflows, for the financial services industry. The role involves building scalable APIs, microservices, and MLOps infrastructure to integrate AI capabilities into Q2's digital banking ecosystem.
Senior Freelance Consultant, AI Safety
Location: Remote Engagement type: Consultancy, project-based. Starting ASAP. Moonshot is seeking a Senior Freelance Consultant to support the delivery of our AI Safety portfolio. This is a hands on, technical…
MLOps Engineer - DATABRICKS, Machine Learning, DEVOPS, CI/CD
The MLOps Engineer will manage machine learning workflows using Databricks and Azure Machine Learning while implementing DevOps and CI/CD pipelines. The role also involves full-stack development using .NET Core, C#, and Angular within a financial services context.
Machine Learning Backend Engineer at Layer 6
Become a Machine Learning Backend Engineer at Layer 6, addressing real-world ML issues through innovative backend solutions and API design. In this role, you will significantly impact the development of machine…
Spécialiste en Apprentissage Automatique
DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons…
Co-op Researcher - Machine Learning, Speech & Audio AI
This co-op researcher role at Huawei's Noah's Ark lab involves developing state-of-the-art speech and audio AI technologies through literature review, algorithm implementation, and data analysis. The position requires strong software development skills in C++ and Python, along with experience in deep learning frameworks like PyTorch or TensorFlow.
Senior Machine Learning Engineer
Build self-service ML platform tooling and golden paths from the ground up, enabling Data Scientists to independently deploy models to production across batch and real-time use cases using Python, PyTorch, TensorFlow, Kubernetes, and MLflow.
Staff Machine Learning Engineer
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment…
Senior Machine Learning Engineer
Designs and scales AI agent systems for Unity’s game engine, focusing on goal-directed behavior, task planning, and real-time decision-making in interactive environments.
Machine Learning Engineer
Builds and deploys production-grade ML/AI systems for Manulife’s fintech operations, focusing on reusable patterns, MLOps, and scalable infrastructure to enhance customer experiences in insurance, banking, and wealth management.
Machine Learning Engineer, AI Decisioning
The Machine Learning Engineer will build an intelligence layer for data activation products, focusing on personalization, predictive audiences, content generation, and marketing budget optimization. The role involves end-to-end development from problem definition and predictive modeling to building the underlying machine learning infrastructure.
Senior ML Engineer
Senior ML Engineer builds and deploys AI models for a timekeeping product, owning end-to-end ML solutions and collaborating with cross-functional teams.
RQ09177 - Machine Learning Engineer - Senior
Senior ML engineer builds and trains NLP models (e.g., BERT) using Python and deep-learning frameworks to solve text-classification and language-understanding tasks.
AI/ML Ops Engineer
As AI/ML Ops Engineer, you own the operational backbone of Blackpoint's AI/ML capability, taking models from training to production deployment, building deployment pipelines, and ensuring production-grade systems. Core technologies include AWS, SageMaker, Bedrock, Kafka, Spark, MLFlow, Terraform, Docker, Kubernetes, Python, and Bash.