MLOps Jobs
23 MLOps jobs currently listed
Browse 23 open positions that require MLOps 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.
Head of Engineering - London
London, United Kingdom - English
Member of technical staff (Infra) - London
London, United Kingdom - English
Senior AI Engineer
Berlin, Germany (Remote) - English
Research Engineer Foundation Model ML Ops (f/m/div.)
Renningen, Germany - English (C1)
Senior Site Reliability Engineer — Token Factory (Inference Platform)
Amsterdam, Netherlands +6 (Remote) - English
Principal Data Scientist (m/f/d)
Munich, Germany - English
Director, Data Science - Deep Learning & AI
Berlin, Germany - English
(Senior) Data Scientist (w/m/d)
Berlin, Germany - English
Data Science Manager, Supply
Berlin, Germany - English (excellent)
Senior Data Scientist, Economics (m/f/d)
Munich, Germany - English
Senior GenAI Data Scientist (m/f/d)
Munich, Germany - English (fluent)
Senior Staff Data Engineer | Enterprise
London, United Kingdom - English
Research Engineer, Reward Models Platform
San Francisco, United States (Remote) - English
Senior Data Scientist (w/m/d)
Berlin, Germany - English
Senior Data Scientist (w/m/d)
Berlin, Germany - English
Applied AI & Analytics - Principal Consultant
London, United Kingdom - English
Research Engineer - Reinforcement Learning and Agentic AI (f/m/div.)
Renningen, Germany - English (C1+)
Sr. Manager, AI & Machine Learning
Remote (NA, EUROPE) - English
Machine Learning Engineer
Amsterdam, Netherlands - English
Sr. Data Science Manager (m/w/x)
Berlin, Germany - English (fluent)
Frequently Asked Questions
- There are currently 23 open positions that list MLOps 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 MLOps 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.