AI/ML Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-10-13, Skillenai has indexed 359 job postings with the title “AI/ML Engineer” over the past 90 days. The skill mentioned most often is Python, with demand share up 2.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-13
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Frequently asked questions about AI/ML Engineer jobs
+How many AI/ML Engineer jobs are being posted in 2026?
Skillenai has indexed 359 job postings with the title “AI/ML Engineer” over the 90 days ending 2026-10-13.
+What skills do AI/ML Engineer jobs require?
Across AI/ML Engineer postings indexed by Skillenai over the 90 days ending 2026-10-13, the skills mentioned most often are Python, PyTorch, TensorFlow, machine learning, MLOps.
+Which cities are hiring the most AI/ML Engineer?
As of 2026-10-13, AI/ML Engineer postings indexed by Skillenai are concentrated in Bengaluru, New York City, San Francisco, Annapolis, San Jose.
+Is AI/ML Engineer a good career path right now?
Skillenai indexes 359 AI/ML Engineer postings over the 90 days ending 2026-10-13. The skill mentioned most often in AI/ML Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new AI/ML Engineer job postings as they’re indexed?
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+What roles do people move into and out of AI/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 AI/ML Engineer postings — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths through AI/ML Engineer
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
67 employer moves kept the same role.
Roles before AI/ML Engineer
Roles after AI/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: Data Scientist | 67 |
| Before: AI/ML Engineer (different employer) | 67 |
| Before: Software Engineer | 30 |
| Before: Machine Learning Engineer | 30 |
| Before: Data Analyst | 10 |
| Before: Teaching Assistant | 9 |
| Before: Data Engineer | 8 |
| Before: ML Engineer | 8 |
| After: AI/ML Engineer (different employer) | 67 |
| After: Data Scientist | 15 |
| After: Software Engineer | 12 |
| After: AI Engineer | 11 |
| After: Machine Learning Engineer | 9 |
| After: Gen AI Engineer | 8 |
| After: Research Assistant | 3 |
| After: Teaching Assistant | 3 |
Skills most often required for AI/ML Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 256 | 71.3% |
| PyTorch | 154 | 42.9% |
| TensorFlow | 123 | 34.3% |
| machine learning | 95 | 26.5% |
| MLOps | 79 | 22.0% |
| LangChain | 78 | 21.7% |
| Docker | 74 | 20.6% |
| prompt engineering | 74 | 20.6% |
| scikit-learn | 72 | 20.1% |
| CI/CD | 67 | 18.7% |
| RAG | 65 | 18.1% |
| SQL | 59 | 16.4% |
| Kubernetes | 58 | 16.2% |
| AWS | 51 | 14.2% |
| vector databases | 50 | 13.9% |
Top companies posting AI/ML Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| General Motors | 17 |
| CACI | 16 |
| Bah | 9 |
| CLERA | 8 |
| Analog Devices | 7 |
| Accenture Federal Services | 6 |
| PwC | 5 |
| Vanguard | 5 |
| Maersk | 4 |
| SNC | 4 |
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 AI/ML Engineer
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 16 | 4.5% |
| New York City | 15 | 4.2% |
| San Francisco | 12 | 3.3% |
| Annapolis | 11 | 3.1% |
| San Jose | 9 | 2.5% |
| Arlington | 6 | 1.7% |
| Ashburn | 5 | 1.4% |
| Hyderabad | 5 | 1.4% |
| Pune | 5 | 1.4% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-13, matching postings whose canonical role is “AI/ML Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles). Adjusted posting share: 0.1% to 0.1%. 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 2,615 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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
- AI/ML Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-10-13
- 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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