Hugging Face jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-29, Hugging Face appears in 618 job postings indexed by Skillenai over the past 90 days — AI Engineer has the most postings mentioning Hugging Face, with demand share down 0.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
618
Demand vs prior month
down 0.8% vs the prior 4 weeks
Top role · 15.5% of skill postings
Top hiring metro
London

Which roles want Hugging Face?

Upload your resume and Skillenai will show which roles your Hugging Face experience fits, which skills you already cover, and what is missing.

Frequently asked questions about Hugging Face

+Is Hugging Face in demand in 2026?

Yes. Hugging Face appears in 618 job postings indexed by Skillenai over the 90 days ending 2026-10-29. AI Engineer accounts for the most postings mentioning Hugging Face (15.5% of all postings mentioning Hugging Face).

+What jobs require Hugging Face?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Hugging Face are AI/ML Architect (14.3% of that role’s postings mention Hugging Face), Applied AI Scientist (9.1% of that role’s postings mention Hugging Face), AI Research Scientist (7.7% of that role’s postings mention Hugging Face).

+What skills are commonly paired with Hugging Face?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), Hugging Face most often appears alongside Python, PyTorch, LangChain, TensorFlow, AWS.

+Where is Hugging Face most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring Hugging Face are London, Bengaluru, San Francisco, San Jose, New York City, according to the Skillenai jobs index.

+How can I keep up with new Hugging Face content and jobs?

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

+Which skills come before and after Hugging Face?

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 Hugging Face — last 90 days

Salary distribution

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

Career paths around Hugging Face

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Hugging Face

Before Hugging Facepython → Hugging Face: 17 observed employer moves with this skill pairPower BI → Hugging Face: 12 observed employer moves with this skill pairETL → Hugging Face: 9 observed employer moves with this skill pairtensorflow → Hugging Face: 9 observed employer moves with this skill pairscikit-learn → Hugging Face: 8 observed employer moves with this skill pairsql → Hugging Face: 7 observed employer moves with this skill pairTableau → Hugging Face: 7 observed employer moves with this skill pairairflow → Hugging Face: 7 observed employer moves with this skill pairHugging Facepython: 17 movespython17 movesPower BI: 12 movesPower BI12 movesETL: 9 movesETL9 movestensorflow: 9 movestensorflow9 movesscikit-learn: 8 movesscikit-learn8 movessql: 7 movessql7 movesTableau: 7 movesTableau7 movesairflow: 7 movesairflow7 moves

Skills after Hugging Face

After Hugging FaceHugging Face → python: 6 observed employer moves with this skill pairHugging Face → langchain: 6 observed employer moves with this skill pairHugging Face → AWS: 4 observed employer moves with this skill pairHugging Face → GitHub Actions: 4 observed employer moves with this skill pairHugging Face → kubernetes: 4 observed employer moves with this skill pairHugging Face → aws sagemaker: 3 observed employer moves with this skill pairHugging Face → Azure OpenAI: 3 observed employer moves with this skill pairHugging Face → Sagemaker: 3 observed employer moves with this skill pairHugging Facepython: 6 movespython6 moveslangchain: 6 moveslangchain6 movesAWS: 4 movesAWS4 movesGitHub Actions: 4 movesGitHub Actions4 moveskubernetes: 4 moveskubernetes4 movesaws sagemaker: 3 movesaws sagemaker3 movesAzure OpenAI: 3 movesAzure OpenAI3 movesSagemaker: 3 movesSagemaker3 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: python17
Before: Power BI12
Before: ETL9
Before: tensorflow9
Before: scikit-learn8
Before: sql7
Before: Tableau7
Before: airflow7
After: python6
After: langchain6
After: AWS4
After: GitHub Actions4
After: kubernetes4
After: aws sagemaker3
After: Azure OpenAI3
After: Sagemaker3

Roles most likely to require Hugging Face

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

RolePostings mentioning skill% of role postings mentioning skill
AI/ML Architect314.3%
Applied AI Scientist39.1%
AI Research Scientist67.7%
Applied Researcher47.5%
Solution Engineer136.6%
AI Research Intern26.5%
GenAI Engineer25.9%
Prompt Engineer35.5%
AI/ML Engineer185.0%
Machine Learning Engineering Manager34.9%

Roles with the most Hugging Face postings

RolePostings mentioning skillShare of skill postings
AI Engineer9615.5%
Data Scientist7211.7%
Software Engineer538.6%
ML Engineer325.2%
Machine Learning Engineer294.7%
AI/ML Engineer182.9%
Solution Engineer132.1%
Applied AI Engineer101.6%
Solutions Architect91.5%
AI Architect81.3%

Top companies posting jobs requiring Hugging Face

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

Top companies posting jobs requiring Hugging Face
CompanyPostings · 90 days
Capital One29
GeVernova14
Snowflake13
Accenture13
Mistral10
ALTEN8
NVIDIA8
Bosch8
Adobe8
SignalFire6

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 Hugging Face

NamePostingsShare
London193.1%
Bengaluru182.9%
San Francisco162.6%
San Jose152.4%
New York City142.3%
Hyderabad101.6%
Pune81.3%
Tel Aviv81.3%
Amsterdam71.1%

Skills commonly paired with Hugging Face

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 2026-10-29. 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 Hugging Face by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Hugging Face postings by all Hugging Face 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
2903fd768ff85a6c
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index