Find work in Canada.
677,057 jobs across our Canadian network. How we count
Jobs in Canada
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Lead Full Stack Developer
RBC
The RBC Borealis Lumina Platform team is hiring a Lead Full Stack Developer who will bring focus and subject-matter expertise around designing and implementing APIs and UIs for the AWS and…
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Lead ML Platform Engineer
RBC
…implementing machine learning infrastructure and automation tools (MLOps and DevOps). This is a unique opportunity to grow in the world of machine learning infrastructure and work with a…
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AI & Cloud Governance Lead
Northbridge Financial
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
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AI & Cloud Governance Lead
Northbridge Financial Corporation
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
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Senior Agentic AI Developer
CGI
…(GTO) Canada is seeking a highly skilled Senior Agentic AI Developer to design, develop, and deploy next-generation AI solutions leveraging Large Language Models (LLMs), Generative AI,…
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Machine Learning Resident - Client: Pratt & Whitney Canada (6 month term)
Amii (Alberta Machine Intelligence Institute)
…solutions on existing enterprise data infrastructure using MLOps tools. Furthermore, you will help establish a strong AI governance framework compliant with P&WC security and AI best…
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Principal AI Engineer
RBC
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
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Founding Account Executive (AI Cloud)
Featherless AI
3–6 years in a closing role in Cloud Infrastructure, MLOps, or AI/developer tooling
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Founding Sales Engineer
Featherless AI
…customer-facing engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
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Team Lead, AI Engineering
The Citco Group Limited
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
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Senior AI Engineer
The Citco Group Limited
You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience
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Founding AI Engineering (Forward Deployed)
CGI
Experience with MLOps, observability, and monitoring for AI systems.
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Senior AI Engineer
Tangerine
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
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Senior AI Engineer
Scotiabank
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
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Data Engineer
Buyerlink
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Senior Staff Developer, AI and Machine Learning
Benevity
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
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Senior Staff Developer, AI and Machine Learning
Benevity
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
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Lead Solutions Architect, AI Build & Delivery
Foundever
Familiarity with MLOps, vector databases, or AI safety considerations
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Software Engineer – MLOPS
Ubisoft
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Internship - Technological Innovation Developer, AI profile
Croesus
Participate in the development, configuration, or deployment of development tools (CI/CD, MLOps, etc.) and lab cloud infrastructure.
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Data Scientist
Allstate Canada
Deploy and operationalize models using Azure Machine Learning and modern MLOps practices, ensuring reliability, scalability, and governance compliance.
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Senior Machine Learning Engineer
Fusemachines
You must possess a strong hybrid skill set: deep expertise in applied machine learning combined with production-grade software engineering skills
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Data Science Lead
Alberta Innovates
Apply MLOps/LLMOps practices for their own solutions and partner with platform and engineering teams for production hardening, CI/CD, and monitoring.