transformer models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, transformer models appears in 120 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning transformer models.
Last updated · 90d ending 2026-10-30
Which roles want transformer models?
Upload your resume and Skillenai will show which roles your transformer models experience fits, which skills you already cover, and what is missing.
Frequently asked questions about transformer models
+Is transformer models in demand in 2026?
Yes. transformer models appears in 120 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Machine Learning Engineer accounts for the most postings mentioning transformer models (17.5% of all postings mentioning transformer models).
+What jobs require transformer models?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning transformer models are Senior Data Scientist (7.4% of that role’s postings mention transformer models), ML Scientist (5.0% of that role’s postings mention transformer models), Data Science Lead (4.3% of that role’s postings mention transformer models).
+What skills are commonly paired with transformer models?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), transformer models most often appears alongside Python, PyTorch, Machine Learning, TensorFlow, deep learning.
+Where is transformer models most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring transformer models are San Francisco, New York City, Bengaluru, London, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new transformer models content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning transformer models alongside the jobs index. You can subscribe to a daily email digest of new transformer models content from your Skillenai account.
+Which skills come before and after transformer 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 transformer models — last 90 days
Career paths around transformer models
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before transformer models
Skills after transformer 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: python | 7 |
| Before: sql | 6 |
| Before: tensorflow | 6 |
| Before: MYSQL | 4 |
| Before: Power BI | 4 |
| Before: docker | 4 |
| Before: Tableau | 4 |
| Before: Apache Spark | 3 |
| After: Flask | 3 |
| After: Tableau | 3 |
| After: docker | 3 |
| After: pytorch | 3 |
| After: R | 3 |
| After: tensorflow | 3 |
| After: langchain | 2 |
| After: Retrieval-Augmented Generation | 2 |
Roles most likely to require transformer models
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Senior Data Scientist | 2 | 7.4% |
| ML Scientist | 2 | 5.0% |
| Data Science Lead | 1 | 4.3% |
| AI Research Engineer | 2 | 2.9% |
| GenAI Engineer | 1 | 2.9% |
| Principal Data Scientist | 1 | 2.6% |
| AI Scientist | 2 | 2.4% |
| Generative AI Engineer | 1 | 2.0% |
| Researcher | 1 | 1.8% |
| AI Researcher | 2 | 1.7% |
Roles with the most transformer models postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 21 | 17.5% |
| ML Engineer | 18 | 15.0% |
| Data Scientist | 15 | 12.5% |
| Software Engineer | 7 | 5.8% |
| Research Engineer | 5 | 4.2% |
| AI Architect | 4 | 3.3% |
| AI Software Engineer | 4 | 3.3% |
| Research Scientist | 3 | 2.5% |
| AI Engineer | 2 | 1.7% |
| AI Research Engineer | 2 | 1.7% |
Top companies posting jobs requiring transformer models
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Twilio | 7 |
| Waymo | 6 |
| Lucid Motors | 5 |
| Northrop Grumman | 4 |
| OpenAI | 3 |
| Elsevier | 3 |
| CBA | 3 |
| Uber | 2 |
| ByteDance | 2 |
| FIS | 2 |
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 transformer models
| Name | Postings | Share |
|---|---|---|
| San Francisco | 10 | 8.3% |
| New York City | 5 | 4.2% |
| Bengaluru | 4 | 3.3% |
| London | 4 | 3.3% |
| Mountain View | 3 | 2.5% |
| San Jose | 3 | 2.5% |
| Southfield | 3 | 2.5% |
| Austin | 2 | 1.7% |
| Gurugram | 2 | 1.7% |
Skills commonly paired with transformer 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 2026-10-30. 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 transformer models by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s transformer models postings by all transformer 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
- a040dbecc4fda14e
- data_as_of
- 2026-10-30
- window_days
- 90