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AI Jobs in Toronto

Find the latest AI job opportunities in Toronto. Live AI and machine learning roles read at source from employer applicant tracking systems.

Live roles from the companies building AI, including

Anthropic
OpenAI
Google DeepMind
xAI
NVIDIA
Databricks
CoreWeave
Scale AI
Cohere
Perplexity
ElevenLabs
Figure
Together AI
Character.AI
Cursor
Harvey
Sierra
Glean
Modal
Anthropic
OpenAI
Google DeepMind
xAI
NVIDIA
Databricks
CoreWeave
Scale AI
Cohere
Perplexity
ElevenLabs
Figure
Together AI
Character.AI
Cursor
Harvey
Sierra
Glean
Modal

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Updated October 2026

As of October 2026, 72 open AI roles in Toronto. Most active areas: Research Science, ML Engineering, Applied AI.

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Frequently asked questions

How many AI jobs are there in Toronto?
We currently list 72 active AI roles in Toronto, refreshed continuously as our pipeline runs across the AI companies we read at source.
What are the most common AI roles in Toronto?
In-demand AI roles in Toronto include Research Scientist, Machine Learning Engineer, Applied AI Engineer, Data & MLOps Engineer, AI Product Manager.
What compliance frameworks drive AI hiring in Toronto?
Key frameworks shaping Toronto AI hiring include PIPEDA, ISO/IEC 42001, NIST AI Risk Management Framework (used voluntarily).
Are there remote AI jobs in Toronto?
Yes - many Toronto, Canada employers hire remotely or hybrid. Browse our remote AI jobs to filter for fully-remote roles.

AI hiring in Toronto

Toronto is Canada's largest AI hiring market and one of the field's historic research centres: the deep learning work done at the University of Toronto is a direct ancestor of the modern industry. The Vector Institute anchors the research ecosystem, Cohere builds foundation models from the city, the large banks run their own AI research labs, and the corridor west to Waterloo adds a strong engineering pipeline.

Top hiring sectors

  • • AI research institutes and universities
  • • Foundation-model and AI startups
  • • Banking AI research labs
  • • Insurance and financial services
  • • US tech company engineering offices

Frameworks driving hiring

PIPEDAISO/IEC 42001NIST AI Risk Management Framework (used voluntarily)

Most-hired roles

  • • Research Scientist
  • • Machine Learning Engineer
  • • Applied AI Engineer
  • • Data & MLOps Engineer
  • • AI Product Manager

Key facts (cite this)

  • • The University of Toronto and the Vector Institute make Toronto one of deep learning's historic research centres.
  • • Canada has no comprehensive AI statute in force, so hiring here is shaped by privacy law and voluntary standards.
  • • The Toronto to Waterloo corridor is a single concentrated engineering and AI talent cluster.

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