fine-tuning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, fine-tuning appears in 2,051 job postings indexed by Skillenai over the past 90 days — AI Engineer has the most postings mentioning fine-tuning, with demand down 42% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about fine-tuning
+Is fine-tuning in demand in 2026?
Yes. fine-tuning appears in 2,051 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 42% vs the prior 4 weeks. AI Engineer accounts for the most postings mentioning fine-tuning (12.2% of all postings mentioning fine-tuning).
+What jobs require fine-tuning?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning fine-tuning are Generative AI Specialist (79.3% of that role’s postings mention fine-tuning), Applied Machine Learning Engineer (45.8% of that role’s postings mention fine-tuning), Applied Researcher (35.7% of that role’s postings mention fine-tuning).
+What skills are commonly paired with fine-tuning?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), fine-tuning most often appears alongside Python, PyTorch, machine learning, prompt engineering, RAG.
+Where is fine-tuning most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring fine-tuning are San Francisco, New York City, London, Bengaluru, San Jose, 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
Roles most likely to require fine-tuning
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Generative AI Specialist | 46 | 79.3% |
| Applied Machine Learning Engineer | 11 | 45.8% |
| Applied Researcher | 15 | 35.7% |
| AI/ML Architect | 8 | 30.8% |
| Machine Learning Research Engineer | 9 | 26.5% |
| Applied Value Engineer | 10 | 25.0% |
| Agent Architect | 8 | 22.9% |
| AI Research Scientist | 18 | 22.5% |
| ML Engineering Manager | 5 | 20.8% |
| Gen AI Engineer | 4 | 20.0% |
Roles with the most fine-tuning postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Engineer | 250 | 12.2% |
| Machine Learning Engineer | 218 | 10.6% |
| Software Engineer | 144 | 7.0% |
| Data Scientist | 94 | 4.6% |
| ML Engineer | 91 | 4.4% |
| Product Manager | 57 | 2.8% |
| Applied AI Engineer | 51 | 2.5% |
| Generative AI Specialist | 46 | 2.2% |
| AI/ML Engineer | 42 | 2.0% |
| Research Engineer | 41 | 2.0% |
Top metros hiring for fine-tuning
| Name | Postings | Share |
|---|---|---|
| San Francisco | 161 | 7.8% |
| New York City | 137 | 6.7% |
| London | 76 | 3.7% |
| Bengaluru | 49 | 2.4% |
| San Jose | 47 | 2.3% |
| Singapore | 45 | 2.2% |
| Mountain View | 36 | 1.8% |
| Seattle | 34 | 1.7% |
| Toronto | 32 | 1.6% |
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 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning fine-tuning by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s fine-tuning postings by all fine-tuning postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- bf6d5599efd19a5b
- data_as_of
- 2026-09-28
- 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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