MLOps Jobs
6 MLOps jobs currently listed
Browse 6 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.
By the numbers
- 6 companies hiring
- Mostly Senior roles
- Often paired with Python, Linux, AWS, Copilot
- Top locations: London, Amsterdam, Berlin
- 1 new in the last 7 days
Market insights
ASOS is currently the most active employer hiring for MLOps.
Seniority mix
- Senior 60%
- Mid 20%
- Principal 20%
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.
Databricks 2 days ago
Hybrid
Senior Forward Deployed Engineer (Technical Data Architect)
London, United Kingdom - English
Python Scala JavaScript TypeScript AWS +4
ASOS 3 weeks ago
Senior AI / LLM Engineer
London, United Kingdom - English
Azure OpenAI Azure AI Studio Azure Machine Learning Python
Devoteam 4 weeks ago
Hybrid
DevOps Consultant Kubernetes (m/w/d)
Stuttgart, Germany - English
Linux Docker Kubernetes Bash Python +10
Thoughtworks 1 month ago Reposted 1 time(s)
On-site
Principal Data Engineer (m/f/d)
Amsterdam, Netherlands +4 - German (C1)
MLOps
Frequently Asked Questions
- There are currently 6 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.