MLOps Jobs

2 MLOps jobs currently listed

Browse 2 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

  • 2 companies hiring
  • Mostly Mid roles
  • Often paired with ArgoCD, Bash, Computer Vision, Deep Learning
  • Top locations: Cologne, Zurich

Market insights

Devoteam is currently the most active employer hiring for MLOps.

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.

Devoteam 1 month ago
Hybrid

DevOps Engineer (m/w/d)

Cologne, Germany - English

Linux Docker Kubernetes Bash Python +11
Skydio 5 months ago Open for 160+ days
On-site

Autonomy Engineer - Deep Learning Infrastructure

Zurich, Switzerland - English

Deep Learning MLOps Computer Vision

Frequently Asked Questions

How many MLOps jobs are available right now?
There are currently 2 open positions that list MLOps as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires MLOps?
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.
Can I filter out jobs that use certain technologies?
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.
Are salary ranges accurate?
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.