Jupyter Jobs
11 Jupyter jobs currently listed
Browse 11 open positions that require Jupyter 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.
Data Analytics Infrastructure Engineer (IT-DA-ASM-2026-95-LD)
Geneva, Switzerland - English
Product Associate, Data & Analytics
London, United Kingdom - English
Junior Software Engineer – Data Analysis & Automation (TE-MPE-PE-2026-93-GRAE)
Geneva, Switzerland - English, French
Analytics Engineer
London, United Kingdom - English
Senior Machine Learning Engineer (f/m/d)
London, United Kingdom - English
Data Engineer, Traveler Data Engineering
Berlin, Germany - English
Data Engineer, Growth Data Engineering
Berlin, Germany - English
Senior Machine Learning Engineer - Payments
San Francisco, United States (Remote) - English
Senior Machine Learning Scientist - Applied Research (UK Remote)
Newcastle upon Tyne, United Kingdom (Remote) - English (Fluent)
Principal Machine Learning Scientist - Applied Research (UK Remote)
Newcastle upon Tyne, United Kingdom (Remote) - English (fluent)
(Senior) Consultant Machine Learning (m/w/d)
Germany (Remote) - German (fluent), English (good)
Frequently Asked Questions
- There are currently 11 open positions that list Jupyter 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 Jupyter 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.