scikit-learn Jobs
56 scikit-learn jobs currently listed
Browse 56 open positions that require scikit-learn 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
- 33 companies hiring
- Mostly Senior roles
- Often paired with Python, Machine Learning, Azure, AWS
- Top locations: London, Berlin, Dublin
- 86% don't require German
- 1 new in the last 7 days
Market insights
About 20% of live scikit-learn ads are listed as fully remote.
Remote policy
Remote 20%Hybrid 36%On-site 16%
6 of 56 live ads state a salary.
Seniority mix
- Senior 46%
- Mid 22%
- Lead 20%
- Junior 7%
- Staff 7%
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.
Machine Learning Engineer
London, United Kingdom - English
Data Scientist
Budapest, Hungary - English
Machine Le arning Engineer
London, United Kingdom - English
Machine Learning Engineer
London, United Kingdom - English
Lead Machine Learning Engineer
London, United Kingdom - English
Lead Machine Learning Engineer
London, United Kingdom - English
Python Software Engineer
Amsterdam, Netherlands - English
Fullstack Software Engineer - Core
France +4 (Remote) - English
Head of Machine Learning Engineering
London, United Kingdom - English
Lead Machine Learning Engineer
London, United Kingdom (Remote) - English
Machine Learning Engineer
London, United Kingdom - English
Machine Learning Engineer
London, United Kingdom - English
Machine Learning Engineer
London, United Kingdom (Remote) - English
Junior AI Engineer (w/m/d)
Berlin, Germany - German (C1-C2), English (C1-C2)
Frequently Asked Questions
- There are currently 56 open positions that list scikit-learn 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 scikit-learn 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.