How Much Do Remote MLOps Jobs Pay? (September 2026)
As of September 2026, the median MLOps salary for remote roles is $205,000 a year. Most roles pay between $148,700 and $276,570 (the 10th–90th percentile), drawn from 39 live salaried listings across 26 companies. All figures are converted to annual US dollars so different sources compare like-for-like.
How pay has moved
Median base salary by the month each role was posted, across current live listings. A monthly snapshot builds a firmer long-run trend over time.
Highest-paying employers
- Senior Staff Machine Learning Systems Engineer, Ads ML PlatformStaff Machine Learning Systems EngineerSenior Machine Learning Systems EngineerSenior Machine Learning Infrastructure Engineer, Embedding PlatformAll Reddit roles →
- Lead Machine Learning Engineer - ML Infrastructure Lead Machine Learning Engineer - ML InfrastructureAll Samsara roles →
- Manager, ML Solutions Architecture - Token FactoryML Solution Architect (Early Talent) Senior ML Solutions Architect - Token FactoryPrincipal ML Solutions Architect - Token FactoryAll Nebius roles →
- All OpenTeams roles →
- Sr. Manager, Engineering - Data Infrastructure & MLOps (Hybrid)Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote)All CrowdStrike roles →
Employers ranked by median advertised base among those with at least two salaried listings for remote roles; each one’s best-paying open roles are listed beneath it.
Methodology: MLOps listings for remote roles with a published salary, updated daily. Figures come from roles that are open right now. Ranges and single figures are converted to an annual US-dollar midpoint; hourly rates are annualised and out-of-band values dropped. Salary data is self-reported by employers and covers the roles that disclose pay — treat it as a directional guide, not a guarantee.