Market landscapes / ML Platforms & Data Science / MLOps & ML Lifecycle Platforms
UbiOps
Model serving and orchestration for AI workloads. UbiOps lets teams run, manage and scale machine learning models on any infrastructure without managing Kubernetes or cloud platforms directly.
MLOps & ML Lifecycle Platforms11-50 peopleubiops.com ↗
Updated 9 November 2026
Hiring now
From UbiOps's own jobs board, checked every week.
Still mostly building the product. 4 of its 5 open roles are in engineering and research.
Where the roles are
Against its sector
7 of the 18 active companies in MLOps & ML Lifecycle Platforms are advertising roles. Lightning AI has the most, with 43.
Who UbiOps 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 UbiOps'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 UbiOps, want to work at one, or think UbiOps is filed in the wrong place, put 20 minutes in my diary.
Book 20 minutes with Ben →