deep learning frameworks jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-16, deep learning frameworks appears in 121 job postings indexed by Skillenai over the past 90 days — most often required for Machine Learning Engineer roles, with demand up 21% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-16
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Frequently asked questions about deep learning frameworks
+Is deep learning frameworks in demand in 2026?
Yes. deep learning frameworks appears in 121 job postings indexed by Skillenai over the 90 days ending 2026-09-16, with demand up 21% vs the prior 4 weeks. It is most often required for Machine Learning Engineer roles (12% of Machine Learning Engineer postings list it).
+What jobs require deep learning frameworks?
According to the Skillenai jobs index over the 90 days ending 2026-09-16, the job titles most likely to require deep learning frameworks are Machine Learning Engineer (12% of postings list deep learning frameworks), ML Engineer (7% of postings list deep learning frameworks), Research Engineer (7% of postings list deep learning frameworks).
+What skills are commonly paired with deep learning frameworks?
Across job postings indexed by Skillenai (90 days ending 2026-09-16), deep learning frameworks most often appears alongside Python, PyTorch, TensorFlow, machine learning, C++.
+Where is deep learning frameworks most in demand?
As of 2026-09-16, the metro areas posting the most jobs requiring deep learning frameworks are Mountain View, London, Palo Alto, San Francisco, Santa Clara, according to the Skillenai jobs index.
+How can I keep up with new deep learning frameworks content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning deep learning frameworks alongside the jobs index. You can subscribe to a daily email digest of new deep learning frameworks content from your Skillenai account.
Weekly job postings requiring deep learning frameworks — last 90 days
Job titles most likely to require deep learning frameworks
| Role | Postings mentioning | % requiring |
|---|---|---|
| Machine Learning Engineer | 14 | 11.6% |
| ML Engineer | 9 | 7.4% |
| Research Engineer | 8 | 6.6% |
| Research Scientist | 8 | 6.6% |
| Solutions Architect | 8 | 6.6% |
| AI Engineer | 5 | 4.1% |
| Data Scientist | 4 | 3.3% |
| AI/ML Scientist | 3 | 2.5% |
| MLOps Engineer | 3 | 2.5% |
| AI / ML Engineer | 2 | 1.7% |
Top metros hiring for deep learning frameworks
| Name | Postings | Share |
|---|---|---|
| Mountain View | 6 | 5.0% |
| London | 5 | 4.1% |
| Palo Alto | 5 | 4.1% |
| San Francisco | 5 | 4.1% |
| Santa Clara | 4 | 3.3% |
| Seattle | 3 | 2.5% |
| Toronto | 3 | 2.5% |
| Boston | 2 | 1.7% |
| Cambridge | 2 | 1.7% |
Skills commonly paired with deep learning frameworks
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-16. 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
- 6f9665a02f9e08a1
- data_as_of
- 2026-09-16
- 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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