ML Infrastructure Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-05-17, Skillenai has indexed 66 job postings with the title “ML Infrastructure Engineer” over the past 90 days. The skill mentioned most often is Kubernetes, with demand down 15% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about ML Infrastructure Engineer jobs
+How many ML Infrastructure Engineer jobs are being posted in 2026?
Skillenai has indexed 66 job postings with the title “ML Infrastructure Engineer” over the 90 days ending 2026-05-17, with demand down 15% vs the prior 4 weeks.
+What skills do ML Infrastructure Engineer jobs require?
Across ML Infrastructure Engineer postings indexed by Skillenai over the 90 days ending 2026-05-17, the skills mentioned most often are Kubernetes, Python, PyTorch, Distributed systems, Docker.
+Which cities are hiring the most ML Infrastructure Engineer?
As of 2026-05-17, ML Infrastructure Engineer postings indexed by Skillenai are concentrated in San Francisco, Palo Alto, Mountain View, New York City, San Mateo.
+Is ML Infrastructure Engineer a good career path right now?
Skillenai indexes 66 ML Infrastructure Engineer postings over the 90 days ending 2026-05-17, with demand down 15% vs the prior 4 weeks. The skill mentioned most often in ML Infrastructure Engineer postings is Kubernetes, so building it gives the strongest signal that an applicant matches the role.
+How can I track new ML Infrastructure Engineer job postings as they’re indexed?
Skillenai sends a daily email digest of new ML Infrastructure Engineer postings indexed across the open web. Subscribe from your account dashboard after creating a free Skillenai account.
Weekly ML Infrastructure Engineer postings — last 90 days
Skills most often required for ML Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| Kubernetes | 26 | 11.5% |
| Python | 23 | 10.2% |
| PyTorch | 21 | 9.3% |
| Distributed systems | 19 | 8.4% |
| Docker | 16 | 7.1% |
| observability | 16 | 7.1% |
| monitoring | 15 | 6.6% |
| machine learning | 15 | 6.6% |
| distributed training | 13 | 5.8% |
| data pipelines | 12 | 5.3% |
| AWS | 12 | 5.3% |
| GCP | 12 | 5.3% |
| CI/CD | 11 | 4.9% |
| JAX | 8 | 3.5% |
| model serving | 7 | 3.1% |
Top metros hiring ML Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| San Francisco | 12 | 31.6% |
| Palo Alto | 7 | 18.4% |
| Mountain View | 5 | 13.2% |
| New York City | 4 | 10.5% |
| San Mateo | 3 | 7.9% |
| London | 2 | 5.3% |
| Qianhai Bay Area | 2 | 5.3% |
| Redwood City | 2 | 5.3% |
| Austin | 1 | 2.6% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17, matching postings whose canonical role is “ML Infrastructure Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles).
- role
- ML Infrastructure Engineer
- source
- Skillenai jobs index, deduplicated daily
- 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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