ML Platform Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-09-30, Skillenai has indexed 48 job postings with the title “ML Platform Engineer” over the past 90 days. The skill mentioned most often is Python.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about ML Platform Engineer jobs
+How many ML Platform Engineer jobs are being posted in 2026?
Skillenai has indexed 48 job postings with the title “ML Platform Engineer” over the 90 days ending 2026-09-30.
+What skills do ML Platform Engineer jobs require?
Across ML Platform Engineer postings indexed by Skillenai over the 90 days ending 2026-09-30, the skills mentioned most often are Python, observability, workflow orchestration, PyTorch, model evaluation.
+Which cities are hiring the most ML Platform Engineer?
As of 2026-09-30, ML Platform Engineer postings indexed by Skillenai are concentrated in London, Atlanta, Hyderabad, Palo Alto, Paris.
+Is ML Platform Engineer a good career path right now?
Skillenai indexes 48 ML Platform Engineer postings over the 90 days ending 2026-09-30. The skill mentioned most often in ML Platform Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new ML Platform Engineer job postings as they’re indexed?
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+What roles do people move into and out of ML Platform 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 Platform Engineer postings — last 90 days
Career paths through ML Platform Engineer
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
1 employer moves kept the same role.
Roles before ML Platform Engineer
Roles after ML Platform 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: Data Scientist | 2 |
| Before: Software Engineer | 1 |
| Before: ML Platform Engineer (different employer) | 1 |
| Before: Machine Learning Engineer | 1 |
| Before: NLP Engineer | 1 |
| Before: Product Manager | 1 |
| Before: Site Reliability Engineering Manager | 1 |
| After: Machine Learning Engineer | 2 |
| After: Software Engineer | 1 |
| After: Applied Scientist | 1 |
| After: ML Platform Engineer (different employer) | 1 |
| After: ML Engineer | 1 |
| After: AI-ML Engineer | 1 |
Skills most often required for ML Platform Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 31 | 64.6% |
| observability | 22 | 45.8% |
| workflow orchestration | 18 | 37.5% |
| PyTorch | 17 | 35.4% |
| model evaluation | 16 | 33.3% |
| Distributed systems | 16 | 33.3% |
| monitoring | 15 | 31.3% |
| vector databases | 14 | 29.2% |
| model training | 14 | 29.2% |
| model deployment | 14 | 29.2% |
| machine learning | 14 | 29.2% |
| cloud infrastructure | 14 | 29.2% |
| SGLang | 13 | 27.1% |
| TensorRT-LLM | 13 | 27.1% |
| JAX | 13 | 27.1% |
Top companies posting ML Platform Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 12 |
| Synthesia | 5 |
| Wise | 5 |
| Woven by Toyota | 4 |
| PrizePicks | 2 |
| 42dot | 2 |
| Spinister | 2 |
| CrowdStrike | 2 |
| Protolabs | 2 |
| Palo Alto Networks | 2 |
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 Platform Engineer
| Name | Postings | Share |
|---|---|---|
| London | 4 | 8.3% |
| Atlanta | 2 | 4.2% |
| Hyderabad | 2 | 4.2% |
| Palo Alto | 2 | 4.2% |
| Paris | 2 | 4.2% |
| Singapore | 2 | 4.2% |
| Tel Aviv | 2 | 4.2% |
| Tokyo | 2 | 4.2% |
| Toronto | 2 | 4.2% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30, matching postings whose canonical role is “ML Platform 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 Platform Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-09-30
- 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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