GNNs Jobs

3 GNNs jobs currently listed

Browse 3 open positions that require GNNs 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 Senior roles
  • Often paired with Python, PyTorch, Deep Learning, JAX
  • Top locations: London
  • 1 new in the last 7 days

Market insights

Wise is currently the most active employer hiring for GNNs.

Seniority mix

  • Senior 33%
  • Lead 33%
  • Staff 33%

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.

Wise 3 days ago
Hybrid

Staff Applied ML Engineer - Financial Crime

London, United Kingdom - English

Python PyTorch
£145.000–182.000 /year
Wise 4 weeks ago
Hybrid

Senior ML Engineering Lead - Financial Crime

London, United Kingdom - English

Machine Learning Deep Learning
£135.000–175.000 /year
Sandboxaq 1 month ago

Senior ML Research Engineer, Virtual Cell

United States - English

Python PyTorch JAX Weights & Biases

Frequently Asked Questions

How many GNNs jobs are available right now?
There are currently 3 open positions that list GNNs as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires GNNs?
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 GNNs 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.