Plotly Jobs
6 Plotly jobs currently listed
Browse 6 open positions that require Plotly 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
- 6 companies hiring
- Mostly Mid roles
- Often paired with Python, Docker, NumPy, pandas
- Top locations: London, Zurich, Hamburg
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.
Mind Foundry 1 month ago
Hybrid
Machine Learning Engineer (Forward Deployed)
Oxford, United Kingdom - English
Python Docker Linux
Beyondmath 3 months ago Open for 97+ days
Software Engineer
London, United Kingdom - English
Python AWS Kubernetes Docker
Skydio 3 months ago Open for 106+ days
On-site
Software Engineer - Autonomy Infrastructure, Systems and Tools
Zurich, Switzerland - English
C++ Python
Jua 5 months ago Open for 162+ days
Hybrid
Member of the technical staff (Frontend Engineer)
Zurich, Switzerland - English
React TypeScript Python FastAPI WebSocket +1
Frequently Asked Questions
- There are currently 6 open positions that list Plotly 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 Plotly 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.