Table of Contents
Quick Answer
MLOps engineers earn a median total compensation of $220,000 in the US in 2026. The role is the highest-paid DevOps specialty as companies race to productionize AI.
- Entry-level US: $155K–$195K
- Senior US: $280K–$400K
- Staff: $450K+
Job Market Overview
MLOps listings grew 67% YoY in 2025 per LinkedIn. Every company with an ML model in production needs one.
Metric
2024
2025
2026
US Open Roles
14,000
22,000
34,500
Median Base (US)
$160K
$170K
$178K
Median Total Comp (US)
$195K
$208K
$220K
Salary Ranges
United States (Levels.fyi, Dec 2025)
Level
Base
Bonus
Equity
Total
Entry
$150K
$15K
$25K
$190K
Mid
$175K
$25K
$55K
$255K
Senior
$205K
$38K
$110K
$353K
Staff
$240K
$55K
$220K
$515K
Europe
Country
Total Comp
UK
£92K (~$116K)
Germany
€82K (~$89K)
India
Level
Package
Entry
₹12–18 LPA
Mid
₹22–38 LPA
Senior
₹45–80 LPA
Required Skills
- Kubernetes (non-negotiable)
- Docker
- Terraform / Pulumi (IaC)
- Python
- MLflow, Kubeflow, Airflow
- Feature stores — Feast, Tecton
- Model serving — Ray Serve, vLLM, BentoML
- Monitoring — Prometheus, Grafana, Arize, WhyLabs
- AWS / GCP / Azure
Top Companies Hiring
- Netflix — $395K median
- Uber — $320K median
- Stripe — $310K median
- DoorDash — $280K median
- Databricks — $295K median
- Snowflake — $285K median
- Nvidia — $330K median
- Anyscale — $275K median
- Hugging Face — $240K median
- Weights & Biases — $235K median
Top Courses
- MLOps Specialization by DeepLearning.AI (Coursera, $49/mo)
- Made With ML (free, open-source, Goku Mohandas)
- Full Stack Deep Learning (free)
- Kubeflow documentation (free)
FAQs
MLOps vs DevOps salary?
MLOps earns ~20% more than general DevOps in 2026.
Can DevOps engineers transition to MLOps?
Yes — it's the fastest transition. Learn Python + ML basics + Kubeflow.
Is MLOps dying?
No. Every company shipping AI needs it. Demand grew 67% in 2025.
Remote-friendly?
65% fully remote per FlexJobs 2026.
Best certification?
AWS ML Specialty + CKA (Certified Kubernetes Administrator).
Conclusion
MLOps is DevOps' highest-paid specialty in 2026 at $220K median. Master Kubernetes + a feature store + monitoring stack.
Next step: Deploy one production-grade ML pipeline on AWS or GCP and document it publicly.