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

As of 2026-10-30, Hugging Face Transformers appears in 215 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning Hugging Face Transformers, with demand share up 2.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
215
Demand vs prior month
up 2.5% vs the prior 4 weeks
Top role · 11.6% of skill postings
Machine Learning Engineer
Top hiring metro
Bengaluru

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Frequently asked questions about Hugging Face Transformers

+Is Hugging Face Transformers in demand in 2026?

Yes. Hugging Face Transformers appears in 215 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Machine Learning Engineer accounts for the most postings mentioning Hugging Face Transformers (11.6% of all postings mentioning Hugging Face Transformers).

+What jobs require Hugging Face Transformers?

According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning Hugging Face Transformers are Generative AI Engineer (22.4% of that role’s postings mention Hugging Face Transformers), Applied Value Engineer (16.7% of that role’s postings mention Hugging Face Transformers), AI Engineering Lead (8.1% of that role’s postings mention Hugging Face Transformers).

+What skills are commonly paired with Hugging Face Transformers?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), Hugging Face Transformers most often appears alongside Python, PyTorch, TensorFlow, LangChain, prompt engineering.

+Where is Hugging Face Transformers most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring Hugging Face Transformers are Bengaluru, McLean, Singapore, San Francisco, Gurugram, according to the Skillenai jobs index.

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

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

+Which skills come before and after Hugging Face Transformers?

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 Transformers — last 90 days

Salary distribution

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

Career paths around Hugging Face Transformers

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Hugging Face Transformers

Before Hugging Face Transformerspython → Hugging Face Transformers: 24 observed employer moves with this skill pairTableau → Hugging Face Transformers: 14 observed employer moves with this skill pairsql → Hugging Face Transformers: 13 observed employer moves with this skill pairscikit-learn → Hugging Face Transformers: 11 observed employer moves with this skill pairdocker → Hugging Face Transformers: 11 observed employer moves with this skill pairtensorflow → Hugging Face Transformers: 11 observed employer moves with this skill pairxgboost → Hugging Face Transformers: 11 observed employer moves with this skill pairPower BI → Hugging Face Transformers: 10 observed employer moves with this skill pairHugging FaceTransformerspython: 24 movespython24 movesTableau: 14 movesTableau14 movessql: 13 movessql13 movesscikit-learn: 11 movesscikit-learn11 movesdocker: 11 movesdocker11 movestensorflow: 11 movestensorflow11 movesxgboost: 11 movesxgboost11 movesPower BI: 10 movesPower BI10 moves

Skills after Hugging Face Transformers

After Hugging Face TransformersHugging Face Transformers → langchain: 9 observed employer moves with this skill pairHugging Face Transformers → MLflow: 7 observed employer moves with this skill pairHugging Face Transformers → airflow: 7 observed employer moves with this skill pairHugging Face Transformers → GPT-4: 7 observed employer moves with this skill pairHugging Face Transformers → FastAPI: 6 observed employer moves with this skill pairHugging Face Transformers → Kafka: 5 observed employer moves with this skill pairHugging Face Transformers → PySpark: 4 observed employer moves with this skill pairHugging Face Transformers → kubernetes: 4 observed employer moves with this skill pairHugging FaceTransformerslangchain: 9 moveslangchain9 movesMLflow: 7 movesMLflow7 movesairflow: 7 movesairflow7 movesGPT-4: 7 movesGPT-47 movesFastAPI: 6 movesFastAPI6 movesKafka: 5 movesKafka5 movesPySpark: 4 movesPySpark4 moveskubernetes: 4 moveskubernetes4 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: python24
Before: Tableau14
Before: sql13
Before: scikit-learn11
Before: docker11
Before: tensorflow11
Before: xgboost11
Before: Power BI10
After: langchain9
After: MLflow7
After: airflow7
After: GPT-47
After: FastAPI6
After: Kafka5
After: PySpark4
After: kubernetes4

Roles most likely to require Hugging Face Transformers

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

RolePostings mentioning skill% of role postings mentioning skill
Generative AI Engineer1122.4%
Applied Value Engineer516.7%
AI Engineering Lead38.1%
GenAI Engineer25.7%
ML Ops Engineer25.6%
Technical Marketing Engineer14.5%
Value Engineer12.9%
Lead Software Engineer22.7%
AI Specialist22.7%
AI Researcher32.6%

Roles with the most Hugging Face Transformers postings

RolePostings mentioning skillShare of skill postings
Machine Learning Engineer2511.6%
Data Scientist219.8%
AI Engineer167.4%
ML Engineer136.0%
Deployed Engineer115.1%
Generative AI Engineer115.1%
Solutions Architect94.2%
Software Engineer73.3%
AI/ML Engineer62.8%
Applied Value Engineer52.3%

Top companies posting jobs requiring Hugging Face Transformers

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

Top companies posting jobs requiring Hugging Face Transformers
CompanyPostings · 90 days
PwC15
LangChain11
NVIDIA11
eBay7
Celonis6
Reddit6
Steampunk5
Cisco5
Tenable5
Nagarro4

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 Transformers

NamePostingsShare
Bengaluru2612.1%
McLean83.7%
Singapore83.7%
San Francisco52.3%
Gurugram41.9%
New York City41.9%
Atlanta31.4%
Hyderabad31.4%
Mumbai31.4%

Skills commonly paired with Hugging Face Transformers

Python (183)PyTorch (164)TensorFlow (107)LangChain (105)prompt engineering (61)Kubernetes (55)LangGraph (52)Docker (51)AWS (45)RAG (45)

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 2026-10-30. 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 Hugging Face Transformers 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 Transformers postings by all Hugging Face Transformers 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 2,482 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
14b823e53c3b7c70
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index