Applied Machine Learning Engineer jobs in 2026 — required skills, demand trends, and top hiring cities
As of 2026-09-14, 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, with demand down 60% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-14
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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 2026-09-14, with demand down 60% vs the prior 4 weeks.
+What skills do Applied Machine Learning Engineer jobs require?
Across Applied Machine Learning Engineer postings indexed by Skillenai over the 90 days ending 2026-09-14, 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 2026-09-14, Applied Machine Learning Engineer postings indexed by Skillenai are concentrated in London, Singapore, San Mateo, Almaty, Brookfield.
+Is Applied Machine Learning Engineer a good career path right now?
Skillenai indexes 24 Applied Machine Learning Engineer postings over the 90 days ending 2026-09-14, with demand down 60% vs the prior 4 weeks. 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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Weekly Applied Machine Learning Engineer postings — last 90 days
Skills most often required for Applied Machine Learning Engineer
| Name | Postings | Share |
|---|---|---|
| Python | 19 | 79.2% |
| machine learning | 15 | 62.5% |
| fine-tuning | 11 | 45.8% |
| Reinforcement learning from human feedback (RLHF) | 10 | 41.7% |
| supervised fine-tuning (SFT) | 9 | 37.5% |
| reinforcement learning from human feedback (RFT) | 9 | 37.5% |
| PyTorch | 9 | 37.5% |
| low-latency inference | 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% |
| model evaluation | 5 | 20.8% |
| scalable inference | 5 | 20.8% |
Top metros hiring Applied Machine Learning Engineer
| Name | Postings | Share |
|---|---|---|
| London | 5 | 20.8% |
| Singapore | 4 | 16.7% |
| San Mateo | 3 | 12.5% |
| Almaty | 1 | 4.2% |
| Brookfield | 1 | 4.2% |
| Lake Park | 1 | 4.2% |
| Munich | 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 2026-09-14, matching postings whose canonical role is “Applied Machine Learning Engineer”. Pages refresh weekly (or daily for the top-50 most-posted roles).
- role
- Applied Machine Learning Engineer
- source
- Skillenai jobs index, deduplicated daily
- data_as_of
- 2026-09-14
- 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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