ONNX Jobs
6 ONNX jobs currently listed
Browse 6 open positions that require ONNX 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, TensorRT, SQL
- Top locations: Berlin, London
Market insights
Peec is currently the most active employer hiring for ONNX.
Seniority mix
- Senior 50%
- Staff 33%
- Lead 17%
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.
Wayve 1 month ago
Staff ML Performance Engineer (Compiler)
London, United Kingdom - English
TensorRT CUDA Qualcomm QNN Triton OpenCL +2
Relay 1 month ago
Hybrid
Senior Machine Learning Engineer
London, United Kingdom - English
Python Rust ONNX Chalk.ai GCP +2
Sensmore 1 month ago
On-site
Machine Learning Engineer
Berlin, Germany - English
Python PyTorch TensorRT ONNX Jetson/Orin
Vestiaire Collective 3 months ago Open for 105+ days
Senior/Staff Machine Learning Engineer
Berlin, Germany - English
FastAPI TorchServe Triton Inference Server Ray Serve PyTorch +14
Frequently Asked Questions
- There are currently 6 open positions that list ONNX 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 ONNX 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.