NLP jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, NLP appears in 1,663 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning NLP, with demand share up 4.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want NLP?
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Frequently asked questions about NLP
+Is NLP in demand in 2026?
Yes. NLP appears in 1,663 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Scientist accounts for the most postings mentioning NLP (20.9% of all postings mentioning NLP).
+What jobs require NLP?
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 NLP are Deployment Strategist (28.7% of that role’s postings mention NLP), Applied Researcher (28.3% of that role’s postings mention NLP), Data Science Lead (21.7% of that role’s postings mention NLP).
+What skills are commonly paired with NLP?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), NLP most often appears alongside Python, machine learning, SQL, PyTorch, LLMs.
+Where is NLP most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring NLP are Bengaluru, San Francisco, London, New York City, Hyderabad, according to the Skillenai jobs index.
+How can I keep up with new NLP content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning NLP alongside the jobs index. You can subscribe to a daily email digest of new NLP content from your Skillenai account.
+Which skills come before and after NLP?
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 NLP — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around NLP
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before NLP
Skills after NLP
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 | 109 |
| Before: sql | 58 |
| Before: Tableau | 42 |
| Before: Power BI | 33 |
| Before: machine learning | 23 |
| Before: tensorflow | 21 |
| Before: ETL | 18 |
| Before: AWS | 18 |
| After: python | 44 |
| After: sql | 41 |
| After: Tableau | 37 |
| After: xgboost | 24 |
| After: AWS | 24 |
| After: ETL | 20 |
| After: Power BI | 18 |
| After: pytorch | 17 |
Roles most likely to require NLP
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Deployment Strategist | 23 | 28.7% |
| Applied Researcher | 15 | 28.3% |
| Data Science Lead | 5 | 21.7% |
| Quantitative Research Intern | 4 | 18.2% |
| Applied AI Scientist | 5 | 15.2% |
| Machine Learning Researcher | 6 | 14.6% |
| Research Associate | 5 | 14.3% |
| Search Engineer | 3 | 14.3% |
| Machine Learning Engineering Manager | 8 | 13.1% |
| Product Data Scientist | 5 | 11.9% |
Roles with the most NLP postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 347 | 20.9% |
| Software Engineer | 142 | 8.5% |
| Machine Learning Engineer | 130 | 7.8% |
| AI Engineer | 118 | 7.1% |
| ML Engineer | 67 | 4.0% |
| Product Manager | 35 | 2.1% |
| AI/ML Engineer | 30 | 1.8% |
| Data Analyst | 30 | 1.8% |
| Research Scientist | 24 | 1.4% |
| Deployment Strategist | 23 | 1.4% |
Top companies posting jobs requiring NLP
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Elsevier | 38 |
| CLERA | 27 |
| SynergisticIT | 25 |
| Accenture | 22 |
| PwC | 20 |
| eBay | 17 |
| Sopra Steria | 16 |
| SIA | 15 |
| GeVernova | 15 |
| Capital One | 13 |
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 NLP
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 63 | 3.8% |
| San Francisco | 57 | 3.4% |
| London | 49 | 2.9% |
| New York City | 41 | 2.5% |
| Hyderabad | 29 | 1.7% |
| Singapore | 26 | 1.6% |
| Toronto | 26 | 1.6% |
| Paris | 25 | 1.5% |
| Amsterdam | 22 | 1.3% |
Skills commonly paired with NLP
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 NLP by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s NLP postings by all NLP 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). Adjusted posting share: 0.6% to 0.7%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 02f6e8ab161d33de
- data_as_of
- 2026-10-29
- window_days
- 90