ML Infrastructure Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-10-29, Skillenai has indexed 43 job postings with the title “ML Infrastructure Engineer” over the past 90 days. The skill mentioned most often is Python.
Last updated · 90d ending 2026-10-29
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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 43 job postings with the title “ML Infrastructure Engineer” over the 90 days ending 2026-10-29.
+What skills do ML Infrastructure Engineer jobs require?
Across ML Infrastructure Engineer postings indexed by Skillenai over the 90 days ending 2026-10-29, the skills mentioned most often are Python, Kubernetes, PyTorch, C++, Docker.
+Which cities are hiring the most ML Infrastructure Engineer?
As of 2026-10-29, ML Infrastructure Engineer postings indexed by Skillenai are concentrated in San Francisco, San Mateo, New York City, London, Mountain View.
+Is ML Infrastructure Engineer a good career path right now?
Skillenai indexes 43 ML Infrastructure Engineer postings over the 90 days ending 2026-10-29. The skill mentioned most often in ML Infrastructure Engineer postings is Python, 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?
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+What roles do people move into and out of ML Infrastructure Engineer?
The career-flow chart shows roles before and after observed employer changes across all locations. Counts are moves, not distinct people or promotion probabilities. Same-role moves to another employer are included. The incoming and outgoing sides are separate groups of observations, not a matched three-stage journey.
Weekly indexed ML Infrastructure Engineer postings — last 90 days
Career paths through ML Infrastructure Engineer
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
Roles before ML Infrastructure Engineer
Roles after ML Infrastructure Engineer
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
Same role means a change of employer while keeping the same role. Counts are moves, not distinct people, promotions, or your chances of making a particular move.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: Machine Learning Platform Engineer | 1 |
| Before: Data Engineering Intern | 1 |
| After: Data Infrastructure Engineer | 1 |
Skills most often required for ML Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 27 | 62.8% |
| Kubernetes | 26 | 60.5% |
| PyTorch | 20 | 46.5% |
| C++ | 19 | 44.2% |
| Docker | 17 | 39.5% |
| Distributed systems | 15 | 34.9% |
| AWS | 13 | 30.2% |
| distributed training | 12 | 27.9% |
| Go | 12 | 27.9% |
| Java | 11 | 25.6% |
| GCP | 10 | 23.3% |
| TensorFlow | 9 | 20.9% |
| Rust | 9 | 20.9% |
| Slurm | 7 | 16.3% |
| JAX | 7 | 16.3% |
Top companies posting ML Infrastructure Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 7 |
| General Motors | 4 |
| Physical Intelligence | 3 |
| Echo | 2 |
| Preference-Model | 1 |
| Character.AI | 1 |
| Abridge | 1 |
| Cohere | 1 |
| Applied Intuition | 1 |
| GridCARE | 1 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring ML Infrastructure Engineer
| Name | Postings | Share |
|---|---|---|
| San Francisco | 10 | 23.3% |
| San Mateo | 6 | 14.0% |
| New York City | 3 | 7.0% |
| London | 2 | 4.7% |
| Mountain View | 2 | 4.7% |
| Beijing | 1 | 2.3% |
| Cupertino | 1 | 2.3% |
| Palo Alto | 1 | 2.3% |
| Redwood City | 1 | 2.3% |
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29, matching postings whose canonical role is “ML Infrastructure Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles). An adjusted trend is not shown because comparable posting coverage is insufficient.
- role
- ML Infrastructure Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-10-29
- window_days
- 90