ML infrastructure jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, ML infrastructure appears in 189 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 36% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about ML infrastructure
+Is ML infrastructure in demand in 2026?
Yes. ML infrastructure appears in 189 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 36% vs the prior 4 weeks. It is most often required for Software Engineer roles (15% of Software Engineer postings list it).
+What jobs require ML infrastructure?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require ML infrastructure are Software Engineer (15% of postings list ML infrastructure), Machine Learning Engineer (13% of postings list ML infrastructure), ML Engineer (6% of postings list ML infrastructure).
+What skills are commonly paired with ML infrastructure?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), ML infrastructure most often appears alongside machine learning, Python, Distributed systems, PyTorch, data pipelines.
+Where is ML infrastructure most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring ML infrastructure are San Francisco, New York City, Mountain View, Seattle, London, according to the Skillenai jobs index.
+How can I keep up with new ML infrastructure content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning ML infrastructure alongside the jobs index. You can subscribe to a daily email digest of new ML infrastructure content from your Skillenai account.
Weekly job postings requiring ML infrastructure — last 90 days
Job titles most likely to require ML infrastructure
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 29 | 15.3% |
| Machine Learning Engineer | 24 | 12.7% |
| ML Engineer | 12 | 6.3% |
| ML Infrastructure Engineer | 9 | 4.8% |
| Engineering Manager | 8 | 4.2% |
| Staff Software Engineer | 8 | 4.2% |
| Research Engineer | 7 | 3.7% |
| Infrastructure Engineer | 6 | 3.2% |
| Forward Deployed Engineer | 5 | 2.6% |
| Backend Software Engineer | 4 | 2.1% |
Top metros hiring for ML infrastructure
| Name | Postings | Share |
|---|---|---|
| San Francisco | 36 | 39.1% |
| New York City | 17 | 18.5% |
| Mountain View | 8 | 8.7% |
| Seattle | 8 | 8.7% |
| London | 7 | 7.6% |
| Sunnyvale | 7 | 7.6% |
| Foster City | 3 | 3.3% |
| Menlo Park | 3 | 3.3% |
| Santa Clara | 3 | 3.3% |
Skills commonly paired with ML infrastructure
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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
- 5a7e889723902f9b
- 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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