fine-tuning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-01, fine-tuning appears in 1,914 job postings indexed by Skillenai over the past 90 days — most often required for AI Engineer roles, with demand up 11% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-01
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Frequently asked questions about fine-tuning
+Is fine-tuning in demand in 2026?
Yes. fine-tuning appears in 1,914 job postings indexed by Skillenai over the 90 days ending 2026-09-01, with demand up 11% vs the prior 4 weeks. It is most often required for AI Engineer roles (12% of AI Engineer postings list it).
+What jobs require fine-tuning?
According to the Skillenai jobs index over the 90 days ending 2026-09-01, the job titles most likely to require fine-tuning are AI Engineer (12% of postings list fine-tuning), Machine Learning Engineer (10% of postings list fine-tuning), Software Engineer (8% of postings list fine-tuning).
+What skills are commonly paired with fine-tuning?
Across job postings indexed by Skillenai (90 days ending 2026-09-01), fine-tuning most often appears alongside Python, machine learning, PyTorch, prompt engineering, RAG.
+Where is fine-tuning most in demand?
As of 2026-09-01, the metro areas posting the most jobs requiring fine-tuning are San Francisco, New York City, London, San Jose, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new fine-tuning content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning fine-tuning alongside the jobs index. You can subscribe to a daily email digest of new fine-tuning content from your Skillenai account.
Weekly job postings requiring fine-tuning — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require fine-tuning
| Role | Postings mentioning | % requiring |
|---|---|---|
| AI Engineer | 220 | 11.5% |
| Machine Learning Engineer | 198 | 10.3% |
| Software Engineer | 152 | 7.9% |
| ML Engineer | 99 | 5.2% |
| Data Scientist | 85 | 4.4% |
| Research Engineer | 55 | 2.9% |
| Product Manager | 50 | 2.6% |
| Generative AI Specialist | 45 | 2.4% |
| AI/ML Engineer | 44 | 2.3% |
| Applied AI Engineer | 43 | 2.2% |
Top metros hiring for fine-tuning
| Name | Postings | Share |
|---|---|---|
| San Francisco | 154 | 8.0% |
| New York City | 149 | 7.8% |
| London | 69 | 3.6% |
| San Jose | 46 | 2.4% |
| Mountain View | 43 | 2.2% |
| Singapore | 42 | 2.2% |
| Bengaluru | 41 | 2.1% |
| Seattle | 40 | 2.1% |
| Toronto | 38 | 2.0% |
Skills commonly paired with fine-tuning
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-01. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- bf6d5599efd19a5b
- data_as_of
- 2026-09-01
- 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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