Ray Jobs
16 Ray jobs currently listed
Browse 16 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.
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.
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)
Staff Machine Learning Engineer
London, United Kingdom (Remote) - English
Senior Site Reliability Engineer — Token Factory (Inference Platform)
Amsterdam, Netherlands +6 (Remote) - English
AI Research Engineer - ML Engineering
Berlin, Germany +2 - English
Senior Machine Learning Scientist - Applied Research (UK Remote)
Newcastle upon Tyne, United Kingdom (Remote) - English (Fluent)
Principal Data Engineer
London, United Kingdom - English
Member of Technical Staff, Training Engineer (Large Scale Foundation Models)
English
Principal Machine Learning Scientist - Applied Research (UK Remote)
Newcastle upon Tyne, United Kingdom (Remote) - English (fluent)
Senior Machine Learning Engineer (Speech Synthesis)
Dublin, Ireland +2 (Remote) - English
Multimodal Generative AI Researcher
English
Senior ML Systems Engineer, Frameworks & Tooling
London, United Kingdom (Remote) - English
AI Scientist - Zurich
Zurich, Switzerland - English
Senior Backend / Data Platform Engineer
Munich, Germany - English
Product Engineer | Full-Stack
Lausanne, Switzerland - English
Frequently Asked Questions
- There are currently 16 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.