ML Engineer Salary in Toronto (2026)
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How much does ml engineer in Toronto make?
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In 2026, Machine Learning Engineers in Toronto can expect annual salaries ranging from CAD 110,000 to CAD 175,000, with a median of approximately CAD 135,000. This reflects the growing demand for AI expertise in the region.
Key Facts
- Median salary for ML Engineers in Toronto is CAD 135,000.
- Entry-level positions start at CAD 110,000 annually.
- Top companies hiring include Shopify and major banks.
- Cost of living index in Toronto is 67.4.
- Proficiency in TensorFlow and PyTorch enhances earning potential.
Salary by Experience Level
- Entry Level (0-2 years): CAD 110,000 - CAD 135,000
- Mid Level (3-5 years): CAD 135,000 - CAD 155,000
- Senior Level (6+ years): CAD 155,000 - CAD 175,000
How Toronto Compares
Compared to other Canadian cities, Toronto offers competitive salaries for ML Engineers. For instance, in Vancouver, salaries range from CAD 100,000 to CAD 155,000, while in Montreal, they range from CAD 90,000 to CAD 125,000. This makes Toronto an attractive destination for AI professionals.
Skills That Command Premium
Proficiency in Python, TensorFlow, and PyTorch, along with strong data analysis and deep learning capabilities, can significantly enhance earning potential. Employers highly value these skills in the current market.
Work Culture & Benefits
Toronto's tech industry offers a collaborative work environment with opportunities for professional growth. Benefits often include flexible work arrangements, health insurance, and continuous learning programs.
Top Hiring Companies
Career Advice
To maximize your earning potential as an ML Engineer in Toronto, focus on developing expertise in leading AI frameworks and consider opportunities with top employers in the region.
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ML Engineer Insights — Toronto
ML Engineer salaries in Toronto range from CA$110,000 to CA$175,000, a 48% spread indicating moderate variation depending on seniority and employer. The median of CA$135,000 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
Toronto's cost of living index of 45/100 means relatively affordable living costs compared to major tech centers. A CA$135,000 median gives ml engineer professionals here strong purchasing power that stretches further than the same salary in cities like San Francisco or Zurich.
The hiring landscape for ml engineer in Toronto is anchored by employers like Shopify, RBC, and TD Bank, along with 2 other notable employers. These employers offer competitive packages that generally align with market rates, with differentiation coming through benefits, growth opportunities, and work flexibility.
Demand for ml engineer in Toronto centers around expertise in Python, TensorFlow, PyTorch, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the CA$175,000 ceiling, and have natural transition paths into roles like Data Scientist or AI Engineer.
Related Roles in Toronto
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| Software Engineer | Toronto | CA$50,000 - CA$270,000 | CA$128,750 |
| Full Stack Developer | Toronto | CA$90,000 - CA$150,000 | CA$102,866 |
| Frontend Engineer | Toronto | CA$75,000 - CA$150,000 | CA$120,000 |
| Product Manager | Toronto | CA$87,379 - CA$166,193 | CA$108,581 |
| ML Engineer | New York | $140,000 - $267,000 | $189,063 |
| ML Engineer |
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Frequently Asked Questions
What is the average salary for an ML Engineer in Toronto?
The average salary for a Machine Learning Engineer in Toronto in 2026 is approximately CAD 135,000 per year.
Which companies are hiring ML Engineers in Toronto?
Top companies hiring ML Engineers in Toronto include Shopify, RBC, TD Bank, Scotiabank, and IBM.
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Data Source & Methodology
Salary data for ml engineer in Toronto is compiled from multiple verified sources including:
- Public salary reports from major tech employers (FAANG, Fortune 500, and high-growth startups)
- Government labor statistics and occupational wage surveys
- Aggregated self-reported compensation data from verified professionals
- Job posting analysis from major tech job boards and company career pages
All figures represent base salary in CAD and are normalized to annual equivalents. Ranges reflect the 25th to 75th percentile of reported compensation, while median values represent the 50th percentile. Data is updated quarterly to reflect current market conditions.
Last updated: April 2026 | Sample size: Varies by role and location (minimum 30 data points required for publication)