Market landscapes / ML Platforms & Data Science / MLOps & ML Lifecycle Platforms
Hugging Face
Open-source machine learning platform for collaboration. Hugging Face hosts models, datasets and applications where the machine learning community builds and shares AI projects.
MLOps & ML Lifecycle Platforms501-1,000 peoplehuggingface.co ↗
Updated 9 November 2026
Hiring now
From Hugging Face's own jobs board, checked every week.
Hiring in Europe. Roles are advertised in Europe and the US.
All 7 of its open roles are in engineering and research.
Where the roles are
Against its sector
Hugging Face has the third most open roles in MLOps & ML Lifecycle Platforms, after Lightning AI and Automaton AI. 7 of the 18 active companies in this sub-sector are advertising roles.
Who Hugging Face competes with
The other active companies we file under MLOps & ML Lifecycle Platforms, sorted by how much they are hiring.
Where this fits
Training, deploying, versioning and monitoring models across their life.
We track hiring and team changes across all 65 companies in ML Platforms & Data Science.
Our talent report for this sector shows how Hugging Face's team compares with its competitors.
What is in it:
- Every company's team size, side by side, grouped by sub-sector
- Who grew their team over the last year, and by how much
- Who is losing people: attrition for each company, against the sector average
- Who is hiring right now, and how many open roles each has
I am Ben Jackson. I map this market, and I hire the commercial teams inside it: sales, marketing, product and delivery.
If you are building a team at a company like Hugging Face, want to work at one, or think Hugging Face is filed in the wrong place, put 20 minutes in my diary.
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