Machine Learning Infrastructure Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-08-30, Skillenai has indexed 31 job postings with the title “Machine Learning Infrastructure Engineer” over the past 90 days. The skill mentioned most often is Python, with demand down 50% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-30
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Frequently asked questions about Machine Learning Infrastructure Engineer jobs
+How many Machine Learning Infrastructure Engineer jobs are being posted in 2026?
Skillenai has indexed 31 job postings with the title “Machine Learning Infrastructure Engineer” over the 90 days ending 2026-08-30, with demand down 50% vs the prior 4 weeks.
+What skills do Machine Learning Infrastructure Engineer jobs require?
Across Machine Learning Infrastructure Engineer postings indexed by Skillenai over the 90 days ending 2026-08-30, the skills mentioned most often are Python, distributed training, PyTorch, Kubernetes, TensorFlow.
+Which cities are hiring the most Machine Learning Infrastructure Engineer?
As of 2026-08-30, Machine Learning Infrastructure Engineer postings indexed by Skillenai are concentrated in Mountain View, San Francisco, New York City, San Jose, Satakha.
+Is Machine Learning Infrastructure Engineer a good career path right now?
Skillenai indexes 31 Machine Learning Infrastructure Engineer postings over the 90 days ending 2026-08-30, with demand down 50% vs the prior 4 weeks. The skill mentioned most often in Machine Learning Infrastructure Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new Machine Learning Infrastructure Engineer job postings as they’re indexed?
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Weekly Machine Learning Infrastructure Engineer postings — last 90 days
Skills most often required for Machine Learning Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 17 | 54.8% |
| distributed training | 15 | 48.4% |
| PyTorch | 13 | 41.9% |
| Kubernetes | 10 | 32.3% |
| TensorFlow | 10 | 32.3% |
| Distributed systems | 9 | 29.0% |
| observability | 8 | 25.8% |
| AWS | 7 | 22.6% |
| Ray | 6 | 19.4% |
| model deployment | 6 | 19.4% |
| Machine learning infrastructure | 6 | 19.4% |
| multi-agent simulations | 5 | 16.1% |
| GCP | 5 | 16.1% |
| foundation models | 5 | 16.1% |
| inference optimization | 5 | 16.1% |
Top metros hiring Machine Learning Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| Mountain View | 6 | 19.4% |
| San Francisco | 4 | 12.9% |
| New York City | 2 | 6.5% |
| San Jose | 2 | 6.5% |
| Satakha | 2 | 6.5% |
| Bellevue | 1 | 3.2% |
| San Mateo | 1 | 3.2% |
| Santa Clara | 1 | 3.2% |
| Seattle | 1 | 3.2% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-30, matching postings whose canonical role is “Machine Learning Infrastructure Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles).
- role
- Machine Learning Infrastructure Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-08-30
- 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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