language models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, language models appears in 121 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning language models.
Last updated · 90d ending 2026-10-29
Which roles want language models?
Upload your resume and Skillenai will show which roles your language models experience fits, which skills you already cover, and what is missing.
Frequently asked questions about language models
+Is language models in demand in 2026?
Yes. language models appears in 121 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Machine Learning Engineer accounts for the most postings mentioning language models (12.4% of all postings mentioning language models).
+What jobs require language models?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning language models are AI Scientist (4.6% of that role’s postings mention language models), Machine Learning Scientist (2.9% of that role’s postings mention language models), ML Research Engineer (2.6% of that role’s postings mention language models).
+What skills are commonly paired with language models?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), language models most often appears alongside Python, machine learning, PyTorch, Reinforcement learning, TensorFlow.
+Where is language models most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring language models are San Francisco, New York City, San Jose, Amsterdam, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new language models content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning language models alongside the jobs index. You can subscribe to a daily email digest of new language models content from your Skillenai account.
+Which skills come before and after language models?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring language models — last 90 days
Career paths around language models
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before language models
Skills after language models
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.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: regularization | 1 |
| Before: deep neural networks (DNNs) | 1 |
| Before: Turnkey system | 1 |
| Before: uncertainty quantification | 1 |
| Before: PostgreSQL | 1 |
| Before: Excel sheets | 1 |
| Before: sql | 1 |
| Before: Redis | 1 |
| After: FAISS | 1 |
| After: spark | 1 |
| After: speech recognition | 1 |
| After: MYSQL | 1 |
| After: Google Trends | 1 |
| After: interactive dashboards | 1 |
| After: Text-to-SQL | 1 |
| After: YouTube | 1 |
Roles most likely to require language models
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Scientist | 4 | 4.6% |
| Machine Learning Scientist | 4 | 2.9% |
| ML Research Engineer | 1 | 2.6% |
| Lead Data Scientist | 2 | 2.3% |
| AI Engineering Director | 1 | 2.0% |
| Researcher | 1 | 1.9% |
| AI Solutions Architect | 2 | 1.9% |
| AI Evaluation Expert | 1 | 1.9% |
| Machine Learning Engineering Manager | 1 | 1.6% |
| Applied AI Engineer | 7 | 1.6% |
Roles with the most language models postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 15 | 12.4% |
| Research Engineer | 10 | 8.3% |
| Software Engineer | 10 | 8.3% |
| AI Engineer | 8 | 6.6% |
| Applied AI Engineer | 7 | 5.8% |
| Data Scientist | 7 | 5.8% |
| Engineering Manager | 6 | 5.0% |
| AI Scientist | 4 | 3.3% |
| Data & ML Engineer | 4 | 3.3% |
| Machine Learning Scientist | 4 | 3.3% |
Top companies posting jobs requiring language models
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Decagon | 8 |
| Adobe | 4 |
| 4 | |
| Adyen | 3 |
| The New York Times | 3 |
| CLERA | 3 |
| Red Cell Partners | 3 |
| Mintlify | 3 |
| Abby Care | 3 |
| Cerence | 3 |
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 for language models
| Name | Postings | Share |
|---|---|---|
| San Francisco | 24 | 19.8% |
| New York City | 6 | 5.0% |
| San Jose | 5 | 4.1% |
| Amsterdam | 3 | 2.5% |
| Bengaluru | 3 | 2.5% |
| London | 3 | 2.5% |
| Boston | 2 | 1.7% |
| Cherry Hill | 2 | 1.7% |
| Hyderabad | 2 | 1.7% |
Skills commonly paired with language models
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 language models by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s language models postings by all language models 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 976b3292238dd9f1
- data_as_of
- 2026-10-29
- window_days
- 90