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machine learning jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-02, machine learning appears in 13,857 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning machine learning, with demand share up 5.4% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-02

Postings · last 90 days
13,857
Demand vs prior month
up 5.4% vs the prior 4 weeks
Top role · 14.5% of skill postings
Data Scientist
Top hiring metro
San Francisco

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Frequently asked questions about machine learning

+Is machine learning in demand in 2026?

Yes. machine learning appears in 13,857 job postings indexed by Skillenai over the 90 days ending 2026-10-02. Data Scientist accounts for the most postings mentioning machine learning (14.5% of all postings mentioning machine learning).

+What jobs require machine learning?

According to the Skillenai jobs index over the 90 days ending 2026-10-02, among roles with at least 20 postings, the highest shares mentioning machine learning are Technical Product Lead (98.6% of that role’s postings mention machine learning), Generative AI Specialist (93.1% of that role’s postings mention machine learning), Machine Learning Manager (87.5% of that role’s postings mention machine learning).

+What skills are commonly paired with machine learning?

Across job postings indexed by Skillenai (90 days ending 2026-10-02), machine learning most often appears alongside Python, SQL, deep learning, PyTorch, Generative AI.

+Where is machine learning most in demand?

As of 2026-10-02, the metro areas posting the most jobs requiring machine learning are San Francisco, New York City, London, Mountain View, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new machine learning content and jobs?

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

+Which skills come before and after machine 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 machine learning — last 90 days

Salary distribution

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

Career paths around machine learning

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before machine learning

Before machine learningpython → machine learning: 133 observed employer moves with this skill pairsql → machine learning: 66 observed employer moves with this skill pairJava → machine learning: 40 observed employer moves with this skill pairExcel → machine learning: 37 observed employer moves with this skill pairTableau → machine learning: 34 observed employer moves with this skill pairPower BI → machine learning: 28 observed employer moves with this skill pairR → machine learning: 27 observed employer moves with this skill pairETL → machine learning: 24 observed employer moves with this skill pairmachinelearningpython: 133 movespython133 movessql: 66 movessql66 movesJava: 40 movesJava40 movesExcel: 37 movesExcel37 movesTableau: 34 movesTableau34 movesPower BI: 28 movesPower BI28 movesR: 27 movesR27 movesETL: 24 movesETL24 moves

Skills after machine learning

After machine learningmachine learning → python: 85 observed employer moves with this skill pairmachine learning → sql: 72 observed employer moves with this skill pairmachine learning → Tableau: 43 observed employer moves with this skill pairmachine learning → Power BI: 32 observed employer moves with this skill pairmachine learning → AWS: 30 observed employer moves with this skill pairmachine learning → Java: 29 observed employer moves with this skill pairmachine learning → JavaScript: 23 observed employer moves with this skill pairmachine learning → Azure: 19 observed employer moves with this skill pairmachinelearningpython: 85 movespython85 movessql: 72 movessql72 movesTableau: 43 movesTableau43 movesPower BI: 32 movesPower BI32 movesAWS: 30 movesAWS30 movesJava: 29 movesJava29 movesJavaScript: 23 movesJavaScript23 movesAzure: 19 movesAzure19 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: python133
Before: sql66
Before: Java40
Before: Excel37
Before: Tableau34
Before: Power BI28
Before: R27
Before: ETL24
After: python85
After: sql72
After: Tableau43
After: Power BI32
After: AWS30
After: Java29
After: JavaScript23
After: Azure19

Roles most likely to require machine learning

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

RolePostings mentioning skill% of role postings mentioning skill
Technical Product Lead27998.6%
Generative AI Specialist5493.1%
Machine Learning Manager2187.5%
Machine Learning Researcher2982.9%
Machine Learning Engineering Manager4880.0%
Machine Learning Scientist10173.2%
Applied Machine Learning Engineer1666.7%
Quantitative Research Intern1562.5%
Applied AI Architect4461.1%
ML Software Engineer1260.0%

Roles with the most machine learning postings

RolePostings mentioning skillShare of skill postings
Data Scientist2,01414.5%
Machine Learning Engineer1,2619.1%
Software Engineer9526.9%
ML Engineer7265.2%
Product Manager4893.5%
AI Engineer4583.3%
Technical Product Manager2832.0%
Technical Product Lead2792.0%
Research Scientist2151.6%
Data Analyst1901.4%

Top companies posting jobs requiring machine learning

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

Top companies posting jobs requiring machine learning
CompanyPostings · 90 days
Bjakcareer549
Waymo215
Capital One208
Anthropic123
Google113
Stripe100
Bosch100
CLERA87
Scale AI84
Databricks83

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 machine learning

NamePostingsShare
San Francisco5924.3%
New York City5774.2%
London5163.7%
Mountain View2832.0%
Bengaluru2521.8%
Singapore2271.6%
Toronto1881.4%
Boston1741.3%
Sunnyvale1521.1%

Skills commonly paired with machine learning

Python (6,881)SQL (3,257)deep learning (1,738)PyTorch (1,724)Generative AI (1,665)LLMs (1,590)AWS (1,470)data pipelines (1,378)R (1,176)data science (1,158)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-02. 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 machine learning by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s machine learning postings by all machine 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: 6.0% to 6.3%. 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 2,593 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
8a3faf319060f266
data_as_of
2026-10-02
window_days
90
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Compiled by Jared Rand · Data sourced from the Skillenai labor market index