MLOps/LLMOps Engineer
NicheAlso known as: ML Platform Engineer, LLMOps Engineer, AI Infrastructure Engineer
Build and maintain the infrastructure pipelines that deploy, monitor, and scale machine learning and large language models in production.
Salary Range
The highest-paid specialization or seniority level for mlops/llmops engineers.
About 1 in 13 reaches this level
Field of ~30-50K practitioners; Principal or Director roles at $195K are achievable at mid-to-large companies for experienced engineers.
Salary data based on 2025 BLS, Glassdoor, and industry reports. Actual compensation varies by location, experience, and employer.
How to Become One
This career typically requires a bachelor's degree.
AI Risk Assessment
MLOps is moving toward hyper-automation with pipelines that retrain and redeploy models autonomously. AI coding agents generate Kubernetes configs, Terraform modules, and CI/CD pipelines. Managed platforms (SageMaker, Vertex AI) abstract away infrastructure that MLOps engineers built manually. The role is shifting from 'build the plumbing' to 'select managed services,' which requires fewer people.
Sources
Ratings reflect a 10-year outlook based on 2025-2026 research, weighted toward entry-level impact. Individual outcomes will vary.
Related Careers
Is MLOps/LLMOps Engineer right for you?
Take our free 20-minute assessment to find out if mlops/llmops engineer matches your personality, interests, and strengths.
Take the Free Assessment