ML Ops

Frequently asked questions

• What is ML Ops and how common is it in AI job postings?

  ML Ops is a skill in the "ML Ops & Evaluation" category. It currently appears in 631 active AI roles across 123 companies in our index.

• Which companies are hiring for ML Ops?

  The top employers with active AI roles mentioning ML Ops are: Amazon (59), JPMorgan Chase (40), Deloitte (38), Adobe (31), Apple (30).

• Is demand for ML Ops growing?

  Over the last 12 weeks, 442 new AI postings mentioned ML Ops. Demand is rising — up 171% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is ML Ops used?

  Roles requiring ML Ops are concentrated in: agents (49%), serving infrastructure (20%), application (15%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with ML Ops?

  Job postings that mention ML Ops most often also require: Machine Learning, Python, Agentic Systems, Production ML Systems, Large Language Models (LLMs).