fine-tuning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-07-21, fine-tuning appears in 1,766 job postings indexed by Skillenai over the past 90 days — most often required for AI Engineer roles, with demand up 4% vs the prior 4 weeks.
Last updated · 90d ending 2026-07-21
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Frequently asked questions about fine-tuning
+Is fine-tuning in demand in 2026?
Yes. fine-tuning appears in 1,766 job postings indexed by Skillenai over the 90 days ending 2026-07-21, with demand up 4% 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 2026-07-21, the job titles most likely to require fine-tuning are AI Engineer (12% of postings list fine-tuning), Machine Learning Engineer (11% 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 2026-07-21), fine-tuning most often appears alongside Python, machine learning, PyTorch, prompt engineering, LLMs.
+Where is fine-tuning most in demand?
As of 2026-07-21, the metro areas posting the most jobs requiring fine-tuning are New York City, San Francisco, London, Bengaluru, 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 | 209 | 11.8% |
| Machine Learning Engineer | 195 | 11.0% |
| Software Engineer | 136 | 7.7% |
| ML Engineer | 125 | 7.1% |
| Research Engineer | 70 | 4.0% |
| Data Scientist | 69 | 3.9% |
| Applied AI Engineer | 41 | 2.3% |
| Product Manager | 41 | 2.3% |
| AI/ML Engineer | 35 | 2.0% |
| Research Scientist | 26 | 1.5% |
Top metros hiring for fine-tuning
| Name | Postings | Share |
|---|---|---|
| New York City | 144 | 8.2% |
| San Francisco | 140 | 7.9% |
| London | 57 | 3.2% |
| Bengaluru | 34 | 1.9% |
| Mountain View | 33 | 1.9% |
| Seattle | 32 | 1.8% |
| Palo Alto | 31 | 1.8% |
| Paris | 26 | 1.5% |
| San Jose | 26 | 1.5% |
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 2026-07-21. 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
- 2026-07-21
- 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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