generative models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, generative models appears in 271 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand down 38% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about generative models
+Is generative models in demand in 2026?
Yes. generative models appears in 271 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 38% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (11% of Machine Learning Engineer postings list it).
+What jobs require generative models?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require generative models are Machine Learning Engineer (11% of postings list generative models), ML Engineer (6% of postings list generative models), Technical Consultant (6% of postings list generative models).
+What skills are commonly paired with generative models?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), generative models most often appears alongside machine learning, Python, PyTorch, TensorFlow, deep learning.
+Where is generative models most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring generative models are San Francisco, McLean, London, New York City, Cambridge, according to the Skillenai jobs index.
+How can I keep up with new generative models content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning generative models alongside the jobs index. You can subscribe to a daily email digest of new generative models content from your Skillenai account.
Weekly job postings requiring generative models — last 90 days
Job titles most likely to require generative models
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 30 | 11.1% |
| ML Engineer | 17 | 6.3% |
| Technical Consultant | 17 | 6.3% |
| Forward Deployed Engineer | 15 | 5.5% |
| Research Engineer | 15 | 5.5% |
| Research Scientist | 14 | 5.2% |
| Machine Learning Scientist | 9 | 3.3% |
| Software Engineer | 7 | 2.6% |
| Software Implementation Consultant | 7 | 2.6% |
| Data Scientist | 6 | 2.2% |
Top metros hiring for generative models
| Name | Postings | Share |
|---|---|---|
| San Francisco | 38 | 29.7% |
| McLean | 23 | 18.0% |
| London | 16 | 12.5% |
| New York City | 12 | 9.4% |
| Cambridge | 11 | 8.6% |
| Mountain View | 10 | 7.8% |
| Seattle | 7 | 5.5% |
| San Jose | 6 | 4.7% |
| Palo Alto | 5 | 3.9% |
Skills commonly paired with generative models
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 69a6bd2b1979de9c
- data_as_of
- 2026-05-17
- 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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