Knowledge Graphs Jobs
7 Knowledge Graphs jobs currently listed
Browse 7 open positions that require Knowledge Graphs 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, AWS, AI Agents, GCP
- Top locations: London, Berlin, Geneva
Market insights
9fin is currently the most active employer hiring for Knowledge Graphs.
Seniority mix
- Senior 57%
- Principal 29%
- Mid 14%
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.
Principal Machine Learning Scientist (Experiences)
London, United Kingdom - English
Senior ML Research Engineer, Virtual Cell
United States - English
Senior AI Engineer
London, United Kingdom - English
Machine Learning Engineer
Geneva, Switzerland +1 - English
Applied AI & Analytics - Principal Consultant
London, United Kingdom - English
Frequently Asked Questions
- There are currently 7 open positions that list Knowledge Graphs 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 Knowledge Graphs 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.