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natural language processing (NLP) jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, natural language processing (NLP) appears in 515 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning natural language processing (NLP), with demand share down 1.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
515
Demand vs prior month
down 1.6% vs the prior 4 weeks
Top role · 23.7% of skill postings
Data Scientist
Top hiring metro
Bengaluru

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Frequently asked questions about natural language processing (NLP)

+Is natural language processing (NLP) in demand in 2026?

Yes. natural language processing (NLP) appears in 515 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning natural language processing (NLP) (23.7% of all postings mentioning natural language processing (NLP)).

+What jobs require natural language processing (NLP)?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning natural language processing (NLP) are AI/ML Scientist (17.4% of that role’s postings mention natural language processing (NLP)), Machine Learning Manager (12.0% of that role’s postings mention natural language processing (NLP)), AI Data Scientist (10.0% of that role’s postings mention natural language processing (NLP)).

+What skills are commonly paired with natural language processing (NLP)?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), natural language processing (NLP) most often appears alongside Python, machine learning, PyTorch, Large language models (LLMs), TensorFlow.

+Where is natural language processing (NLP) most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring natural language processing (NLP) are Bengaluru, Hyderabad, New York City, Singapore, Toronto, 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.

+Which skills come before and after natural language processing (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 natural language processing (NLP) — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around natural language processing (NLP)

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before natural language processing (NLP)

Before natural language processing (NLP)python → natural language processing (NLP): 19 observed employer moves with this skill pairPower BI → natural language processing (NLP): 8 observed employer moves with this skill pairsql → natural language processing (NLP): 7 observed employer moves with this skill pairmachine learning → natural language processing (NLP): 6 observed employer moves with this skill pairTableau → natural language processing (NLP): 6 observed employer moves with this skill pairMYSQL → natural language processing (NLP): 5 observed employer moves with this skill pairAWS → natural language processing (NLP): 5 observed employer moves with this skill pairR → natural language processing (NLP): 5 observed employer moves with this skill pairnaturallanguageprocessing(NLP)python: 19 movespython19 movesPower BI: 8 movesPower BI8 movessql: 7 movessql7 movesmachine learning: 6 movesmachine learning6 movesTableau: 6 movesTableau6 movesMYSQL: 5 movesMYSQL5 movesAWS: 5 movesAWS5 movesR: 5 movesR5 moves

Skills after natural language processing (NLP)

After natural language processing (NLP)natural language processing (NLP) → python: 11 observed employer moves with this skill pairnatural language processing (NLP) → Agile: 4 observed employer moves with this skill pairnatural language processing (NLP) → sql: 4 observed employer moves with this skill pairnatural language processing (NLP) → JavaScript: 3 observed employer moves with this skill pairnatural language processing (NLP) → Jira: 3 observed employer moves with this skill pairnatural language processing (NLP) → Flask: 3 observed employer moves with this skill pairnatural language processing (NLP) → NLP: 3 observed employer moves with this skill pairnatural language processing (NLP) → matplotlib: 3 observed employer moves with this skill pairnaturallanguageprocessing(NLP)python: 11 movespython11 movesAgile: 4 movesAgile4 movessql: 4 movessql4 movesJavaScript: 3 movesJavaScript3 movesJira: 3 movesJira3 movesFlask: 3 movesFlask3 movesNLP: 3 movesNLP3 movesmatplotlib: 3 movesmatplotlib3 moves
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.

Observed connections and move counts
ConnectionMoves
Before: python19
Before: Power BI8
Before: sql7
Before: machine learning6
Before: Tableau6
Before: MYSQL5
Before: AWS5
Before: R5
After: python11
After: Agile4
After: sql4
After: JavaScript3
After: Jira3
After: Flask3
After: NLP3
After: matplotlib3

Roles most likely to require natural language processing (NLP)

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI/ML Scientist417.4%
Machine Learning Manager312.0%
AI Data Scientist210.0%
Applied Researcher37.1%
AI Research Scientist56.2%
Principal Consultant15.0%
QA Analyst24.5%
AI Engineering Manager44.5%
AI Solutions Engineer14.3%
Lecturer14.3%

Roles with the most natural language processing (NLP) postings

RolePostings mentioning skillShare of skill postings
Data Scientist12223.7%
Machine Learning Engineer377.2%
AI Engineer316.0%
Software Engineer254.9%
ML Engineer203.9%
AI/ML Engineer112.1%
Product Manager81.6%
Research Engineer61.2%
AI Research Scientist51.0%
AI Software Engineer51.0%

Top companies posting jobs requiring natural language processing (NLP)

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring natural language processing (NLP)
CompanyPostings · 90 days
Clarity Innovations12
eBay10
JPMorgan Chase & Co.10
Bosch8
Accenture8
Allianz7
Capital One6
General Motors6
Northrop Grumman6
GRVTY6

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 natural language processing (NLP)

NamePostingsShare
Bengaluru224.3%
Hyderabad112.1%
New York City112.1%
Singapore101.9%
Toronto91.7%
Amsterdam81.6%
London81.6%
Washington81.6%
Seattle71.4%

Skills commonly paired with natural language processing (NLP)

Python (329)machine learning (246)PyTorch (165)Large language models (LLMs) (157)TensorFlow (129)deep learning (122)SQL (120)Generative AI (97)prompt engineering (76)AWS (69)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 natural language processing (NLP) by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s natural language processing (NLP) postings by all natural language processing (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: 0.2% to 0.2%. 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
5a639f7711fedfd9
data_as_of
2026-09-30
window_days
90
Hiring engineers who use natural language processing (NLP)?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index