MLOps Engineer

Operationalize machine learning by building the infrastructure, tooling, and processes that take models from research to production and keep them running reliably. Manages the full ML lifecycle — training pipelines, model registries, serving infrastructure, monitoring, and automated retraining — applying DevOps principles to ML systems.

What do MLOps Engineer do?

Operationalize machine learning by building the infrastructure, tooling, and processes that take models from research to production and keep them running reliably. Manages the full ML lifecycle — training pipelines, model registries, serving infrastructure, monitoring, and automated retraining — app...

What is the median salary for MLOps Engineer?

The median annual salary for MLOps Engineer is $96,800.

What is the job outlook for MLOps Engineer?

Employment for MLOps Engineer is projected to grow by 38.0% over the next decade.

What education do MLOps Engineer need?

MLOps Engineer typically require bachelor's degree in computer science, engineering, or related field.

What skills do MLOps Engineer need?

Key skills for MLOps Engineer include Python, Kubernetes/Docker, MLflow/Kubeflow, Spark, CI/CD, Cloud ML platforms (SageMaker/Vertex AI/AzureML), Prometheus/Grafana.

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Data Scientists
Median Pay$120,230
Job Growth by 2035+34.6%
School After High SchoolAbout 4 years
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  • Calculus
  • Computer Science
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Typical entry education
Data ScienceStatisticsComputer Science
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Median$120,230
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24,800 openings a year, projected
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Median Pay$129,180
Job Growth by 2035+21%
School After High SchoolAbout 4 years
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Prepare Early
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  • Statistics
  • Networking
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Bachelor's degree
Typical entry education
CybersecurityInformation TechnologyComputer Science
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Information Security Analysts
Lowest 10% earn under$75,090
Median$129,180
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Pay: BLS Occupational Employment and Wage Statistics, May 2025. Growth, openings and entry education: BLS Employment Projections 2025-2035.

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