ML Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-10-01, Skillenai has indexed 1,664 job postings with the title “ML Engineer” over the past 90 days. The skill mentioned most often is machine learning, with demand share down 8.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-01
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Frequently asked questions about ML Engineer jobs
+How many ML Engineer jobs are being posted in 2026?
Skillenai has indexed 1,664 job postings with the title “ML Engineer” over the 90 days ending 2026-10-01.
+What skills do ML Engineer jobs require?
Across ML Engineer postings indexed by Skillenai over the 90 days ending 2026-10-01, the skills mentioned most often are machine learning, Python, PyTorch, TensorFlow, MLOps.
+Which cities are hiring the most ML Engineer?
As of 2026-10-01, ML Engineer postings indexed by Skillenai are concentrated in San Francisco, New York City, Mountain View, Bengaluru, London.
+Is ML Engineer a good career path right now?
Skillenai indexes 1,664 ML Engineer postings over the 90 days ending 2026-10-01. The skill mentioned most often in ML Engineer postings is machine learning, so building it gives the strongest signal that an applicant matches the role.
+How can I track new ML Engineer job postings as they’re indexed?
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+What roles do people move into and out of ML Engineer?
The career-flow chart shows roles before and after observed employer changes across all locations. Counts are moves, not distinct people or promotion probabilities. Same-role moves to another employer are included. The incoming and outgoing sides are separate groups of observations, not a matched three-stage journey.
Weekly indexed ML Engineer postings — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths through ML Engineer
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
1,023 employer moves kept the same role.
Roles before ML Engineer
Roles after ML Engineer
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
Same role means a change of employer while keeping the same role. Counts are moves, not distinct people, promotions, or your chances of making a particular move.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: Software Engineer | 1,462 |
| Before: ML Engineer (different employer) | 1,023 |
| Before: Data Scientist | 813 |
| Before: Data Analyst | 284 |
| Before: Research Assistant | 210 |
| Before: Teaching Assistant | 154 |
| Before: Data Engineer | 118 |
| Before: Product Manager | 72 |
| After: Software Engineer | 1,443 |
| After: ML Engineer (different employer) | 1,023 |
| After: Data Scientist | 713 |
| After: Data Analyst | 259 |
| After: Data Engineer | 113 |
| After: Research Assistant | 109 |
| After: Product Manager | 89 |
| After: Teaching Assistant | 88 |
Skills most often required for ML Engineer
| Name | Postings | Share |
|---|---|---|
| machine learning | 729 | 43.8% |
| Python | 551 | 33.1% |
| PyTorch | 371 | 22.3% |
| TensorFlow | 215 | 12.9% |
| MLOps | 157 | 9.4% |
| AWS | 124 | 7.5% |
| deep learning | 124 | 7.5% |
| CI/CD | 118 | 7.1% |
| Artificial Intelligence | 109 | 6.6% |
| model evaluation | 106 | 6.4% |
| computer vision | 98 | 5.9% |
| scikit-learn | 97 | 5.8% |
| JAX | 94 | 5.6% |
| fine-tuning | 91 | 5.5% |
| SQL | 87 | 5.2% |
Top companies posting ML Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 43 |
| Waymo | 36 |
| Torcrobotics | 35 |
| PwC | 20 |
| Affirm | 20 |
| Micro1 | 16 |
| Mirage | 16 |
| Booz Allen Hamilton | 15 |
| Accenture | 15 |
| Nebius | 14 |
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.
Top metros hiring ML Engineer
| Name | Postings | Share |
|---|---|---|
| San Francisco | 95 | 5.7% |
| New York City | 78 | 4.7% |
| Mountain View | 39 | 2.3% |
| Bengaluru | 29 | 1.7% |
| London | 27 | 1.6% |
| Seattle | 26 | 1.6% |
| Washington | 25 | 1.5% |
| Palo Alto | 21 | 1.3% |
| Toronto | 21 | 1.3% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01, matching postings whose canonical role is “ML Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles). Adjusted posting share: 0.7% to 0.7%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,593 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- role
- ML Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-10-01
- 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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