Applied Machine Learning Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-10-01, Skillenai has indexed 24 job postings with the title “Applied Machine Learning Engineer” over the past 90 days. The skill mentioned most often is Python.
Last updated · 90d ending 2026-10-01
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Frequently asked questions about Applied Machine Learning Engineer jobs
+How many Applied Machine Learning Engineer jobs are being posted in 2026?
Skillenai has indexed 24 job postings with the title “Applied Machine Learning Engineer” over the 90 days ending 2026-10-01.
+What skills do Applied Machine Learning Engineer jobs require?
Across Applied Machine Learning Engineer postings indexed by Skillenai over the 90 days ending 2026-10-01, the skills mentioned most often are Python, machine learning, fine-tuning, Reinforcement learning from human feedback (RLHF), supervised fine-tuning (SFT).
+Which cities are hiring the most Applied Machine Learning Engineer?
As of 2026-10-01, Applied Machine Learning Engineer postings indexed by Skillenai are concentrated in London, Singapore, San Mateo, Santa Clara, Almaty.
+Is Applied Machine Learning Engineer a good career path right now?
Skillenai indexes 24 Applied Machine Learning Engineer postings over the 90 days ending 2026-10-01. The skill mentioned most often in Applied Machine Learning Engineer postings is Python, so building it gives the strongest signal that an applicant matches the role.
+How can I track new Applied Machine Learning Engineer job postings as they’re indexed?
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+What roles do people move into and out of Applied Machine Learning 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 Applied Machine Learning Engineer postings — last 90 days
Career paths through Applied Machine Learning Engineer
Different-role employer moves. Each side is scaled independently.
Historical career profiles · all locations
Roles before Applied Machine Learning Engineer
Roles after Applied Machine Learning 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 | 1 |
| After: Data Scientist | 1 |
Skills most often required for Applied Machine Learning Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 20 | 83.3% |
| machine learning | 16 | 66.7% |
| fine-tuning | 11 | 45.8% |
| Reinforcement learning from human feedback (RLHF) | 10 | 41.7% |
| supervised fine-tuning (SFT) | 10 | 41.7% |
| reinforcement learning from human feedback (RFT) | 10 | 41.7% |
| low-latency inference | 9 | 37.5% |
| PyTorch | 8 | 33.3% |
| model serving | 7 | 29.2% |
| multimodal models | 6 | 25.0% |
| Function calling | 6 | 25.0% |
| end-to-end application development | 5 | 20.8% |
| Kubernetes | 5 | 20.8% |
| scalable inference | 5 | 20.8% |
| sparse weight deltas | 5 | 20.8% |
Top companies posting Applied Machine Learning Engineer jobs
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Fireworks | 11 |
| NVIDIA | 2 |
| MaintainX | 1 |
| Dexian | 1 |
| Milwaukee | 1 |
| Avinox | 1 |
| HPE | 1 |
| Upstart | 1 |
| Vulcan Elements | 1 |
| Higgsfield AI | 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 Applied Machine Learning Engineer
| Name | Postings | Share |
|---|---|---|
| London | 5 | 20.8% |
| Singapore | 4 | 16.7% |
| San Mateo | 2 | 8.3% |
| Santa Clara | 2 | 8.3% |
| Almaty | 1 | 4.2% |
| Brookfield | 1 | 4.2% |
| Lake Park | 1 | 4.2% |
| University | 1 | 4.2% |
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01, matching postings whose canonical role is “Applied Machine Learning 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
- Applied Machine Learning Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-10-01
- 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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