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The average salary for remote Machine Learning Ops Engineer jobs is $173,997 per year, ranging from $160,606 to $237,216 depending on experience. This is based on data from 45 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Mid-level Machine Learning Ops Engineer | 10 | $165,616 |
| Senior Machine Learning Ops Engineer | 27 | $164,777 |
| Lead Machine Learning Ops Engineer | 3 | $160,606 |
| Staff Machine Learning Ops Engineer | 8 | $237,216 |
| Principal Machine Learning Ops Engineer | 1 | $187,500 |
The top skills employers look for in Machine Learning Ops Engineer jobs are Machine Learning, Python, CI/CD, Kubernetes and Docker. Below you'll find the full breakdown of the 10 most in-demand Machine Learning Ops Engineer skills. This is based on data from 32 job openings.
The most sought-after experience for Machine Learning Ops Engineer jobs is Senior (46% of openings).
The most common employment types for Machine Learning Ops Engineer jobs are Full-time (94%) and Freelance (3%).
26% of Machine Learning Ops Engineer jobs require a degree, while 74% do not.
Companies hire remote Machine Learning Ops Engineer engineers in 48 regions and countries — with United States leading in open roles.