natural language processing (NLP) jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, natural language processing (NLP) appears in 568 job postings indexed by Skillenai over the past 90 days — most often required for Data Scientist roles, with demand down 49% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
Get a daily email digest of new natural language processing (NLP) content
Skillenai indexes news articles, blog posts, and research papers that mention natural language processing (NLP). Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Frequently asked questions about natural language processing (NLP)
+Is natural language processing (NLP) in demand in 2026?
Yes. natural language processing (NLP) appears in 568 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 49% vs the prior 4 weeks. It is most often required for Data Scientist roles (14% of Data Scientist postings list it).
+What jobs require natural language processing (NLP)?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require natural language processing (NLP) are Data Scientist (14% of postings list natural language processing (NLP)), Machine Learning Engineer (9% of postings list natural language processing (NLP)), AI Engineer (8% of postings list natural language processing (NLP)).
+What skills are commonly paired with natural language processing (NLP)?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), natural language processing (NLP) most often appears alongside machine learning, Python, Large language models (LLMs), PyTorch, deep learning.
+Where is natural language processing (NLP) most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring natural language processing (NLP) are New York City, Bengaluru, London, San Francisco, Seattle, according to the Skillenai jobs index.
+How can I keep up with new natural language processing (NLP) content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning natural language processing (NLP) alongside the jobs index. You can subscribe to a daily email digest of new natural language processing (NLP) content from your Skillenai account.
Weekly job postings requiring natural language processing (NLP) — last 90 days
Job titles most likely to require natural language processing (NLP)
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Scientist | 79 | 13.9% |
| Machine Learning Engineer | 52 | 9.2% |
| AI Engineer | 45 | 7.9% |
| Software Engineer | 35 | 6.2% |
| Applied Scientist | 19 | 3.3% |
| ML Engineer | 19 | 3.3% |
| Product Manager | 13 | 2.3% |
| AI Research Scientist | 12 | 2.1% |
| Research Scientist | 10 | 1.8% |
| Machine Learning Scientist | 6 | 1.1% |
Top metros hiring for natural language processing (NLP)
| Name | Postings | Share |
|---|---|---|
| New York City | 47 | 26.0% |
| Bengaluru | 37 | 20.4% |
| London | 24 | 13.3% |
| San Francisco | 20 | 11.0% |
| Seattle | 16 | 8.8% |
| Berlin | 12 | 6.6% |
| Hyderabad | 10 | 5.5% |
| Austin | 8 | 4.4% |
| Atlanta | 7 | 3.9% |
Skills commonly paired with natural language processing (NLP)
Stay current on natural language processing (NLP) without doomscrolling
Same one-click setup as above, plus you can pull the underlying stream into your own coding agent via the Skillenai API.
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. 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
- 5a639f7711fedfd9
- data_as_of
- 2026-05-17
- 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.
Skillenai for recruiters →