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)
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.