MLOps engineers in the US bill roughly $50 to $158 per hour on vetted marketplaces, with agencies charging $145 to $245. Full-time base salaries generally range from $125,000 to $200,000. The role sits at the intersection of DevOps and machine learning, and companies pay a premium because unreliable ML infrastructure quietly wastes both compute budgets and data science salaries.
Vetted marketplace
$50–158
per hour · USA, 2026
Vetted marketplace · like HireDeveloperUSA.com
$50–$158/hour
Development agency
$145–$245/hour
In-house full-time · base salary
$125,000–$200,000/year
Add 25–40% for benefits, payroll taxes and overhead before comparing with hourly mlops engineers rates.
Junior
$50 – $80/hour
Mid-level
$80 – $118/hour
Senior
$118 – $158/hour
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Between $50 and $158 per hour on vetted marketplaces depending on seniority, $145 to $245 through an agency, or $125,000 to $200,000 base salary full-time.
If models are part of your production stack, MLOps. The ML-specific concerns, from drift monitoring to GPU scheduling, are exactly what general DevOps practice does not cover.
Usually once two or more models run in production, or when data scientists spend more time on deployment plumbing than on modeling. Before that, a part-time contractor typically suffices.
Yes, and it often starts that way: a senior contractor sets up serving, CI/CD for models, and monitoring, then stays on retainer while your team operates the platform.
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