Skillenai

Natural language processing jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-11-04, Natural language processing appears in 1,514 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Natural language processing.

Last updated · 90d ending 2026-11-04

Postings · last 90 days
1,514
Top role · 25.8% of skill postings
Software Engineer
Top hiring metro
Warsaw

Which roles want Natural language processing?

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Frequently asked questions about Natural language processing

+Is Natural language processing in demand in 2026?

Yes. Natural language processing appears in 1,514 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Software Engineer accounts for the most postings mentioning Natural language processing (25.8% of all postings mentioning Natural language processing).

+What jobs require Natural language processing?

According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning Natural language processing are Large Language Model Architect (52.2% of that role’s postings mention Natural language processing), Field Application Engineer (27.3% of that role’s postings mention Natural language processing), AI / ML Engineer (23.5% of that role’s postings mention Natural language processing).

+What skills are commonly paired with Natural language processing?

Across job postings indexed by Skillenai (90 days ending 2026-11-04), Natural language processing most often appears alongside Machine Learning, Python, information retrieval, deep learning, Distributed computing.

+Where is Natural language processing most in demand?

As of 2026-11-04, the metro areas posting the most jobs requiring Natural language processing are Warsaw, New York City, Seattle, Bengaluru, San Francisco, according to the Skillenai jobs index.

+How can I keep up with new Natural language processing content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Natural language processing alongside the jobs index. You can subscribe to a daily email digest of new Natural language processing content from your Skillenai account.

+Which skills come before and after Natural language processing?

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 — last 90 days

Salary distribution

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

Career paths around Natural language processing

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Natural language processing

Before Natural language processingpython → Natural language processing: 36 observed employer moves with this skill pairsql → Natural language processing: 22 observed employer moves with this skill pairmachine learning → Natural language processing: 11 observed employer moves with this skill pairPower BI → Natural language processing: 9 observed employer moves with this skill pairJava → Natural language processing: 9 observed employer moves with this skill pairR → Natural language processing: 9 observed employer moves with this skill pairData Visualization → Natural language processing: 8 observed employer moves with this skill pairGit → Natural language processing: 7 observed employer moves with this skill pairNaturallanguageprocessingpython: 36 movespython36 movessql: 22 movessql22 movesmachine learning: 11 movesmachine learning11 movesPower BI: 9 movesPower BI9 movesJava: 9 movesJava9 movesR: 9 movesR9 movesData Visualization: 8 movesData Visualization8 movesGit: 7 movesGit7 moves

Skills after Natural language processing

After Natural language processingNatural language processing → python: 28 observed employer moves with this skill pairNatural language processing → sql: 17 observed employer moves with this skill pairNatural language processing → machine learning: 11 observed employer moves with this skill pairNatural language processing → Power BI: 9 observed employer moves with this skill pairNatural language processing → NLP: 8 observed employer moves with this skill pairNatural language processing → AWS: 8 observed employer moves with this skill pairNatural language processing → Tableau: 8 observed employer moves with this skill pairNatural language processing → R: 8 observed employer moves with this skill pairNaturallanguageprocessingpython: 28 movespython28 movessql: 17 movessql17 movesmachine learning: 11 movesmachine learning11 movesPower BI: 9 movesPower BI9 movesNLP: 8 movesNLP8 movesAWS: 8 movesAWS8 movesTableau: 8 movesTableau8 movesR: 8 movesR8 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: python36
Before: sql22
Before: machine learning11
Before: Power BI9
Before: Java9
Before: R9
Before: Data Visualization8
Before: Git7
After: python28
After: sql17
After: machine learning11
After: Power BI9
After: NLP8
After: AWS8
After: Tableau8
After: R8

Roles most likely to require Natural language processing

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

RolePostings mentioning skill% of role postings mentioning skill
Large Language Model Architect1252.2%
Field Application Engineer627.3%
AI / ML Engineer1623.5%
Applied Research Scientist623.1%
Professor521.7%
AI Manager314.3%
ML Scientist512.5%
Prompt Engineer610.7%
AI Automation Specialist29.5%
Research Analyst29.1%

Roles with the most Natural language processing postings

RolePostings mentioning skillShare of skill postings
Software Engineer39125.8%
Data Scientist23115.3%
Machine Learning Engineer1127.4%
AI Engineer936.1%
Software Engineering Manager503.3%
ML Engineer372.4%
Product Manager322.1%
Research Scientist281.8%
AI / ML Engineer161.1%
AI/ML Engineer151.0%

Top companies posting jobs requiring Natural language processing

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

Top companies posting jobs requiring Natural language processing
CompanyPostings · 90 days
Google356
Accenture68
Bah31
Cisco18
HP15
Visa14
Pinterest14
Elsevier13
Guidehouse13
Allianz11

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

NamePostingsShare
Warsaw352.3%
New York City332.2%
Seattle322.1%
Bengaluru302.0%
San Francisco281.8%
London261.7%
Mountain View191.3%
Dublin161.1%
Arlington151.0%

Skills commonly paired with Natural language processing

Machine Learning (787)Python (759)information retrieval (388)deep learning (362)Distributed computing (347)networking (341)large-scale system design (336)security (332)SQL (309)Generative AI (304)

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 2026-11-04. 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 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 postings by all Natural language processing 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
1eaaf68fb26b7e71
data_as_of
2026-11-04
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index