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

As of 2026-09-30, machine learning (ML) appears in 285 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning machine learning (ML), with demand share down 3.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
285
Demand vs prior month
down 3.5% vs the prior 4 weeks
Top role · 8.4% of skill postings
Software Engineer
Top hiring metro
London

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Frequently asked questions about machine learning (ML)

+Is machine learning (ML) in demand in 2026?

Yes. machine learning (ML) appears in 285 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning machine learning (ML) (8.4% of all postings mentioning machine learning (ML)).

+What jobs require machine learning (ML)?

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 machine learning (ML) are AI / ML Engineer (13.7% of that role’s postings mention machine learning (ML)), Product Director (8.7% of that role’s postings mention machine learning (ML)), Adjunct Faculty (8.3% of that role’s postings mention machine learning (ML)).

+What skills are commonly paired with machine learning (ML)?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), machine learning (ML) most often appears alongside Artificial Intelligence (AI), Python, Generative AI, Large language models (LLMs), SQL.

+Where is machine learning (ML) most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring machine learning (ML) are London, Mountain View, Hyderabad, Fort Meade, Woburn, according to the Skillenai jobs index.

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

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

+Which skills come before and after machine learning (ML)?

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 (ML) — last 90 days

Salary distribution

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

Career paths around machine learning (ML)

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before machine learning (ML)

Before machine learning (ML)python → machine learning (ML): 2 observed employer moves with this skill pairMYSQL → machine learning (ML): 2 observed employer moves with this skill pairSSIS → machine learning (ML): 2 observed employer moves with this skill pairTableau → machine learning (ML): 2 observed employer moves with this skill pairR → machine learning (ML): 2 observed employer moves with this skill pairGenAI → machine learning (ML): 1 observed employer moves with this skill pairprocedures → machine learning (ML): 1 observed employer moves with this skill pairC# → machine learning (ML): 1 observed employer moves with this skill pairmachinelearning (ML)python: 2 movespython2 movesMYSQL: 2 movesMYSQL2 movesSSIS: 2 movesSSIS2 movesTableau: 2 movesTableau2 movesR: 2 movesR2 movesGenAI: 1 movesGenAI1 movesprocedures: 1 movesprocedures1 movesC#: 1 movesC#1 moves

Skills after machine learning (ML)

After machine learning (ML)machine learning (ML) → sql: 2 observed employer moves with this skill pairmachine learning (ML) → cloud infrastructure setup: 1 observed employer moves with this skill pairmachine learning (ML) → maintenance activities: 1 observed employer moves with this skill pairmachine learning (ML) → OLTP: 1 observed employer moves with this skill pairmachine learning (ML) → ETL: 1 observed employer moves with this skill pairmachine learning (ML) → timelines: 1 observed employer moves with this skill pairmachine learning (ML) → automation: 1 observed employer moves with this skill pairmachine learning (ML) → Weighted BCE: 1 observed employer moves with this skill pairmachinelearning (ML)sql: 2 movessql2 movescloud infrastructure setup: 1 movescloudinfrastructuresetup1 movesmaintenance activities: 1 movesmaintenanceactivities1 movesOLTP: 1 movesOLTP1 movesETL: 1 movesETL1 movestimelines: 1 movestimelines1 movesautomation: 1 movesautomation1 movesWeighted BCE: 1 movesWeighted BCE1 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: python2
Before: MYSQL2
Before: SSIS2
Before: Tableau2
Before: R2
Before: GenAI1
Before: procedures1
Before: C#1
After: sql2
After: cloud infrastructure setup1
After: maintenance activities1
After: OLTP1
After: ETL1
After: timelines1
After: automation1
After: Weighted BCE1

Roles most likely to require machine learning (ML)

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

RolePostings mentioning skill% of role postings mentioning skill
AI / ML Engineer713.7%
Product Director48.7%
Adjunct Faculty28.3%
Radar Systems Engineer48.2%
AI Transformation Manager26.5%
Data Science Analyst25.9%
Solution Engineer145.7%
AI Data Scientist15.0%
Bioinformatics Scientist15.0%
AI Solutions Engineer14.3%

Roles with the most machine learning (ML) postings

RolePostings mentioning skillShare of skill postings
Software Engineer248.4%
Data Scientist196.7%
Product Manager144.9%
Solution Engineer144.9%
AI/ML Engineer103.5%
AI Engineer82.8%
AI / ML Engineer72.5%
Software Quality Operations Specialist72.5%
Systems Engineer62.1%
Product Director41.4%

Top companies posting jobs requiring machine learning (ML)

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

Top companies posting jobs requiring machine learning (ML)
CompanyPostings · 90 days
Accenture17
Snowflake14
Waymo13
Novartis12
MSD10
Google6
Gsk5
NVIDIA5
JJ5
Globalpr4

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 (ML)

NamePostingsShare
London93.2%
Mountain View93.2%
Hyderabad82.8%
Fort Meade62.1%
Woburn62.1%
Bengaluru51.8%
Laurel41.4%
New York City41.4%
Annapolis31.1%

Skills commonly paired with machine learning (ML)

Artificial Intelligence (AI) (104)Python (103)Generative AI (67)Large language models (LLMs) (54)SQL (53)PyTorch (46)natural language processing (NLP) (37)data governance (35)deep learning (34)data modeling (32)

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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 machine learning (ML) 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 (ML) postings by all machine learning (ML) 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
cdba5dc44d7c95d1
data_as_of
2026-09-30
window_days
90
Hiring engineers who use machine learning (ML)?

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