MLOps Engineer
EstablishedOwn the operational layer that keeps models reliable in production: CI/CD pipelines, drift monitoring, and deployment infrastructure.
Who moves into this role
- DevOps/platform engineer
- ML engineer (infra-minded)
- Data engineer
Required skills
→ MLflow / Weights & Biases
→ Model drift monitoring
→ Kubernetes & infrastructure as code
Salary benchmarks (2026)
US market · ±30% · Base only. Europe runs 30–50% lower.
Entry $110K–$150K
Mid-level $150K–$200K
Senior $200K–$270K
High demand in enterprises deploying at scale
Frequently asked questions
What does a MLOps Engineer do?
Own the operational layer that keeps models reliable in production: CI/CD pipelines, drift monitoring, and deployment infrastructure.
What skills does a MLOps Engineer need?
The core skills are: MLflow / Weights & Biases, Model drift monitoring, Kubernetes & infrastructure as code.
What is the salary for a MLOps Engineer in 2026?
In 2026, a MLOps Engineer earns between $110K–$150K at entry level and $200K–$270K at senior level, with mid-level salaries around $150K–$200K. High demand in enterprises deploying at scale. US market figures, ±30%.