ML Infrastructure Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-06-11, Skillenai has indexed 73 job postings with the title “ML Infrastructure Engineer” over the past 90 days. The skill mentioned most often is Kubernetes, with demand down 77% vs the prior 4 weeks.
Last updated · 90d ending 2026-06-11
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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 73 job postings with the title “ML Infrastructure Engineer” over the 90 days ending 2026-06-11, with demand down 77% 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 2026-06-11, the skills mentioned most often are Kubernetes, Python, PyTorch, Distributed systems, machine learning.
+Which cities are hiring the most ML Infrastructure Engineer?
As of 2026-06-11, ML Infrastructure Engineer postings indexed by Skillenai are concentrated in San Francisco, Palo Alto, New York City, Mountain View, San Mateo.
+Is ML Infrastructure Engineer a good career path right now?
Skillenai indexes 73 ML Infrastructure Engineer postings over the 90 days ending 2026-06-11, with demand down 77% 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 | 28 | 38.4% |
| Python | 25 | 34.2% |
| PyTorch | 23 | 31.5% |
| Distributed systems | 19 | 26.0% |
| machine learning | 17 | 23.3% |
| observability | 17 | 23.3% |
| distributed training | 16 | 21.9% |
| monitoring | 16 | 21.9% |
| Docker | 15 | 20.5% |
| data pipelines | 15 | 20.5% |
| AWS | 14 | 19.2% |
| GCP | 13 | 17.8% |
| CI/CD | 12 | 16.4% |
| Terraform | 11 | 15.1% |
| model deployment | 10 | 13.7% |
Top metros hiring ML Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| San Francisco | 14 | 19.2% |
| Palo Alto | 8 | 11.0% |
| New York City | 6 | 8.2% |
| Mountain View | 5 | 6.8% |
| San Mateo | 3 | 4.1% |
| Boston | 2 | 2.7% |
| London | 2 | 2.7% |
| Qianhai Bay Area | 2 | 2.7% |
| Redwood City | 2 | 2.7% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-06-11, 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
- 2026-06-11
- 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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