ML Engineer in Toronto — local hiring and talent graph insights
As of 2026-09-30, Skillenai has indexed 22 ML Engineer postings located in Toronto over the past 90 days. The skill mentioned most often is Python, with demand down 64% vs the prior 4 weeks. The Skillenai talent graph adds career-history context: 976 of 4,915 observed ML Engineer career positions with documented skills mention python (19.9%). This sample covers all locations and years.
Last updated · 90d ending 2026-09-30
976 of 4,915 positions mention python (19.9%)
Career history · all locations · positions with documented skills
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Frequently asked questions about ML Engineer jobs in Toronto
+Are ML Engineer jobs being posted in Toronto right now?
Yes. Skillenai has indexed 22 ML Engineer postings located in Toronto over the 90 days ending 2026-09-30, with demand down 64% vs the prior 4 weeks.
+What skills do ML Engineer jobs in Toronto require?
Across ML Engineer postings in Toronto indexed by Skillenai over the 90 days ending 2026-09-30, the skills mentioned most often are Python, machine learning, PyTorch, model evaluation, SQL.
+Which other cities are hiring ML Engineer?
As of 2026-09-30, the metro areas posting the most ML Engineer jobs outside Toronto are San Francisco, New York City, Mountain View, Bengaluru, London, based on the Skillenai jobs index.
+How can I get notified about new ML Engineer jobs in Toronto?
Skillenai sends a daily email digest of new ML Engineer postings as they're indexed across the open web. Set up a saved search filtered to Toronto from your account dashboard after creating a free Skillenai account.
+What do talent graph insights show about ML Engineer?
976 of 4,915 observed ML Engineer career positions with documented skills mention python (19.9%). The Skillenai talent graph summarizes skills documented in career-profile positions across all locations and years. It complements the recent job-posting data on this page.
+What does the percentage in the career tables mean?
It is the number of observed career positions mentioning the skill divided by the number with at least one documented skill, multiplied by 100. For role rows, the denominator is positions in that role; for year rows, it is positions started that year. For example, 3 of 12 positions is 25%. Positions may mention multiple skills. These percentages describe the observed sample, not all workers, current vacancies, or the chance of getting a job.
+Are the career insights specific to Toronto?
No. Career insights for ML Engineer cover all locations. Job postings, hiring companies, and required skills from postings on this page are filtered to Toronto.
+Which companies are posting jobs for ML Engineer in Toronto?
The leading resolved employers in this page’s 90-day posting sample include Veeda-labs, RBC, Tubi. The company table counts indexed postings, not hires, and links to published company pages where available.
Weekly ML Engineer postings in Toronto — last 90 days
Skills most often required for ML Engineer in Toronto
| Name | Postings | Share |
|---|---|---|
| Python | 10 | 45.5% |
| machine learning | 9 | 40.9% |
| PyTorch | 8 | 36.4% |
| model evaluation | 5 | 22.7% |
| SQL | 4 | 18.2% |
| AWS | 4 | 18.2% |
| pandas | 4 | 18.2% |
| TensorFlow | 3 | 13.6% |
| PySpark | 3 | 13.6% |
| feature engineering | 3 | 13.6% |
| scikit-learn | 2 | 9.1% |
| CI/CD | 2 | 9.1% |
Top companies posting ML Engineer jobs in Toronto
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Veeda-labs | 2 |
| RBC | 2 |
| Tubi | 1 |
| AYCE | 1 |
| Ample Insight Inc. | 1 |
| Autodesk | 1 |
| Sanofi | 1 |
| eBay | 1 |
| Tim Hortons | 1 |
| Canadiantirecorporation | 1 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Other top cities hiring ML Engineer
| Name | Postings | Share |
|---|---|---|
| San Francisco | 94 | 427.3% |
| New York City | 77 | 350.0% |
| Mountain View | 38 | 172.7% |
| Bengaluru | 27 | 122.7% |
| London | 27 | 122.7% |
| Seattle | 26 | 118.2% |
| Washington | 25 | 113.6% |
| Palo Alto | 21 | 95.5% |
| Tel Aviv | 20 | 90.9% |
| Boston | 19 | 86.4% |
Skills mentioned in this role’s career histories
How often the listed skill is documented in career histories. Each row shows positions mentioning the listed skill out of all observed positions in ML Engineer with at least one documented skill. The percentage is that fraction × 100.
Skillenai talent graph · all locations · all observed years
| Skill | Positions mentioning skill / reviewed | % mentioning skill |
|---|---|---|
| python | 976 of 4,915 | 19.9% |
| tensorflow | 414 of 4,915 | 8.4% |
| machine learning | 397 of 4,915 | 8.1% |
| pytorch | 369 of 4,915 | 7.5% |
| docker | 207 of 4,915 | 4.2% |
| computer vision | 201 of 4,915 | 4.1% |
| scikit-learn | 199 of 4,915 | 4.0% |
| deep learning | 195 of 4,915 | 4.0% |
| pandas | 190 of 4,915 | 3.9% |
| machine learning models | 153 of 4,915 | 3.1% |
Career positions come from profile histories across all locations and years. Only positions with at least one documented skill are included. A position can mention several skills, so percentages do not add to 100%. These samples do not estimate the whole workforce or current hiring.
Coverage is limited to the published aggregate sample.
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30, filtered to postings whose canonical role is “ML Engineer” and whose locationCity is “Toronto”.
- city
- Toronto
- role
- ML Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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