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Unsupervised Learning jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Unsupervised Learning appears in 327 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning Unsupervised Learning, with demand share down 0.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
327
Demand vs prior month
down 0.8% vs the prior 4 weeks
Top role · 31.5% of skill postings
Data Scientist
Top hiring metro
London

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Frequently asked questions about Unsupervised Learning

+Is Unsupervised Learning in demand in 2026?

Yes. Unsupervised Learning appears in 327 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning Unsupervised Learning (31.5% of all postings mentioning Unsupervised Learning).

+What jobs require Unsupervised Learning?

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 Unsupervised Learning are Autonomy Engineer (20.0% of that role’s postings mention Unsupervised Learning), Data Science Consultant (10.8% of that role’s postings mention Unsupervised Learning), Data & Analytics Engineer (9.5% of that role’s postings mention Unsupervised Learning).

+What skills are commonly paired with Unsupervised Learning?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Unsupervised Learning most often appears alongside Supervised Learning, Python, machine learning, SQL, PyTorch.

+Where is Unsupervised Learning most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Unsupervised Learning are London, Broomfield, New York City, Seattle, San Jose, according to the Skillenai jobs index.

+How can I keep up with new Unsupervised Learning content and jobs?

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

+Which skills come before and after Unsupervised Learning?

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 Unsupervised Learning — last 90 days

Career paths around Unsupervised Learning

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Unsupervised Learning

Before Unsupervised LearningC → Unsupervised Learning: 2 observed employer moves with this skill pairlogistic regression → Unsupervised Learning: 2 observed employer moves with this skill pairTableau → Unsupervised Learning: 2 observed employer moves with this skill pairR → Unsupervised Learning: 2 observed employer moves with this skill pairsecurity audits → Unsupervised Learning: 1 observed employer moves with this skill pairspark → Unsupervised Learning: 1 observed employer moves with this skill pairintelligent automation → Unsupervised Learning: 1 observed employer moves with this skill pairARIMA → Unsupervised Learning: 1 observed employer moves with this skill pairUnsupervisedLearningC: 2 movesC2 moveslogistic regression: 2 moveslogisticregression2 movesTableau: 2 movesTableau2 movesR: 2 movesR2 movessecurity audits: 1 movessecurity audits1 movesspark: 1 movesspark1 movesintelligent automation: 1 movesintelligentautomation1 movesARIMA: 1 movesARIMA1 moves

Skills after Unsupervised Learning

After Unsupervised LearningUnsupervised Learning → sql: 3 observed employer moves with this skill pairUnsupervised Learning → anomaly detection: 3 observed employer moves with this skill pairUnsupervised Learning → computer vision: 3 observed employer moves with this skill pairUnsupervised Learning → feature engineering: 3 observed employer moves with this skill pairUnsupervised Learning → pandas: 3 observed employer moves with this skill pairUnsupervised Learning → python: 2 observed employer moves with this skill pairUnsupervised Learning → scikit-learn: 2 observed employer moves with this skill pairUnsupervised Learning → Excel: 2 observed employer moves with this skill pairUnsupervisedLearningsql: 3 movessql3 movesanomaly detection: 3 movesanomaly detection3 movescomputer vision: 3 movescomputer vision3 movesfeature engineering: 3 movesfeatureengineering3 movespandas: 3 movespandas3 movespython: 2 movespython2 movesscikit-learn: 2 movesscikit-learn2 movesExcel: 2 movesExcel2 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: C2
Before: logistic regression2
Before: Tableau2
Before: R2
Before: security audits1
Before: spark1
Before: intelligent automation1
Before: ARIMA1
After: sql3
After: anomaly detection3
After: computer vision3
After: feature engineering3
After: pandas3
After: python2
After: scikit-learn2
After: Excel2

Roles most likely to require Unsupervised Learning

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

RolePostings mentioning skill% of role postings mentioning skill
Autonomy Engineer420.0%
Data Science Consultant810.8%
Data & Analytics Engineer29.5%
Analytics Intern27.1%
AI Data Scientist15.0%
Perception Engineer15.0%
Applied ML Engineer14.8%
Artificial Intelligence Engineer14.2%
Engagement Manager23.9%
AI Engineering Intern13.8%

Roles with the most Unsupervised Learning postings

RolePostings mentioning skillShare of skill postings
Data Scientist10331.5%
Machine Learning Engineer3611.0%
Software Engineer329.8%
AI Engineer154.6%
Applied Scientist92.8%
Data Science Consultant82.4%
AI/ML Engineer72.1%
ML Engineer72.1%
AI Software Engineer61.8%
Data Analyst51.5%

Top companies posting jobs requiring Unsupervised Learning

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

Top companies posting jobs requiring Unsupervised Learning
CompanyPostings · 90 days
Anduril Industries17
SIA10
Qualtrics9
Anduril7
Faculty6
Socure6
Wise6
Northrop Grumman5
Sanofi4
True Anomaly4

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 Unsupervised Learning

NamePostingsShare
London144.3%
Broomfield123.7%
New York City72.1%
Seattle72.1%
San Jose61.8%
Waltham61.8%
Bengaluru51.5%
Chicago51.5%
Gurugram51.5%

Skills commonly paired with Unsupervised Learning

Supervised Learning (295)Python (236)machine learning (193)SQL (122)PyTorch (100)TensorFlow (95)deep learning (89)feature engineering (65)classification (64)Reinforcement learning (58)

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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 Unsupervised Learning by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Unsupervised Learning postings by all Unsupervised Learning 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: 0.1% to 0.1%. 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
546d012fca8f1757
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Unsupervised Learning?

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