W&B Jobs

3 W&B jobs currently listed

Browse 3 open positions that require W&B experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.

By the numbers

  • 2 companies hiring
  • Mostly Mid roles
  • Often paired with Python, AWS, cuDNN, DeepSpeed
  • Top locations: Berlin, Prague

Market insights

Zetaglobal is currently the most active employer hiring for W&B.

Seniority mix

  • Mid 50%
  • Senior 50%

Top hiring companies

What you'll find here

Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.

Zetaglobal 2 months ago Reposted 6 time(s)
Hybrid

ML Ops Engineer

Prague, Czechia - English

AWS Python
Zetaglobal 2 months ago Reposted 3 time(s)
Hybrid

ML Ops Engineer

Berlin, Germany - English (C1)

Python AWS Machine Learning
Nexgencloud 4 months ago Open for 136+ days Reposted 1 time(s)
Remote

HPC Cluster Architect

United Kingdom (Remote) - English

InfiniBand RDMA NVLink NVSwitch Slurm +11

Frequently Asked Questions

How many W&B jobs are available right now?
There are currently 3 open positions that list W&B as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires W&B?
We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find W&B jobs that don't use a particular framework or language.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.