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The average salary for remote Machine Learning Ops Engineer jobs is $173,059 per year, ranging from $144,200 to $220,000 depending on experience. This is based on data from 49 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Machine Learning Ops Engineer | 2 | $144,200 |
| Mid-level Machine Learning Ops Engineer | 11 | $165,700 |
| Senior Machine Learning Ops Engineer | 29 | $166,720 |
| Lead Machine Learning Ops Engineer | 4 | $189,440 |
| Staff Machine Learning Ops Engineer | 7 | $201,042 |
| Principal Machine Learning Ops Engineer | 1 | $220,000 |
The top skills employers look for in Machine Learning Ops Engineer jobs are Machine Learning, Python, CI/CD, AWS and Kubernetes. Below you'll find the full breakdown of the 10 most in-demand Machine Learning Ops Engineer skills. This is based on data from 34 job openings.
The most sought-after experience for Machine Learning Ops Engineer jobs is Senior (51% of openings), and 5% are junior friendly.
The most common employment types for Machine Learning Ops Engineer jobs are Full-time (77%) and Part-time (15%).
21% of Machine Learning Ops Engineer jobs require a degree, while 79% do not.
Companies hire remote Machine Learning Ops Engineer engineers in 43 regions and countries — with United States leading in open roles.