Keras Jobs

3 Keras jobs currently listed

Browse 3 open positions that require Keras 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

  • 3 companies hiring
  • Mostly Mid roles
  • Often paired with Python, TensorFlow, Azure, C
  • Top locations: Bristol, London

Market insights

Braze is currently the most active employer hiring for Keras.

Seniority mix

  • Mid 33%
  • Senior 33%
  • Staff 33%

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.

Braze 1 month ago Reposted 2 time(s)

Forward-Deployed Data Scientist II

London, United Kingdom - English

Python pandas TensorFlow Keras scikit-learn +3
Graphcore 2 months ago Reposted 6 time(s)
On-site

Staff Software Engineer (ML QA)

Bristol, United Kingdom - English

Python C C++
Janeasystems 9 months ago Open for 278+ days Reposted 1 time(s)
Remote

Senior Software Engineer - Machine Learning

English

Python Machine Learning LLM PyTorch TensorFlow +9

Frequently Asked Questions

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