DeepSpeed Jobs
9 DeepSpeed jobs currently listed
Browse 9 open positions that require DeepSpeed 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
- 7 companies hiring
- Mostly Senior roles
- Often paired with Python, PyTorch, Kubernetes, Machine Learning
- Top locations: London, Amsterdam
Market insights
Waymo is currently the most active employer hiring for DeepSpeed.
Seniority mix
- Senior 56%
- Staff 33%
- Mid 11%
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.
Senior Research Scientist | Model Steering
London, United Kingdom - English
Staff Machine Learning Infrastructure Engineer, Simulation
London, United Kingdom - English
Research Scientist, Wayve Labs
London, United Kingdom - English
HPC Cluster Architect
United Kingdom (Remote) - English
Staff Research Engineer (LLM Pre-Training)
Amsterdam, Netherlands +10 (Remote) - English
Senior MLOps Engineer (ML Workflows Engineering)
Amsterdam, Netherlands +9 (Remote) - English
Staff Software Engineer, Simulation ML Infrastructure
London, United Kingdom - English
Frequently Asked Questions
- There are currently 9 open positions that list DeepSpeed 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 DeepSpeed 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.