Ray Jobs
27 Ray jobs currently listed
Browse 27 open positions that require Ray 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
- 13 companies hiring
- Mostly Senior roles
- Often paired with Python, PyTorch, Machine Learning, LLM
- Top locations: London, Munich, Amsterdam
- 100% don't require German
- 1 new in the last 7 days
Market insights
About 33% of live Ray ads are listed as fully remote.
Remote policy
Remote 33%Hybrid 37%
2 of 27 live ads state a salary.
Seniority mix
- Senior 35%
- Staff 26%
- Mid 22%
- Lead 9%
- Principal 9%
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.
Infrastructure and MLOps Engineer
Bristol, United Kingdom - English
Senior Machine Learning Engineer - Messaging Platform
London, United Kingdom - English
Staff / Principal Machine Learning Engineer, Serving - Switzerland
Switzerland (Remote) - English (Professional fluency)
Staff / Principal Machine Learning Engineer, Serving - UK
United Kingdom - English
Senior / Lead Machine Learning Engineer, Serving - Germany
Germany - English (professional fluency)
Frequently Asked Questions
- There are currently 27 open positions that list Ray as a required skill. This number updates daily as new jobs are posted.
- 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.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Ray jobs that don't use a particular framework or language.
- 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.