New AI postings mentioning ML Ops per week — 442 total over 12 weeks.
631 active AI roles across 123 companies mention ML Ops. Category: ML Ops & Evaluation.
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.
The top employers with active AI roles mentioning ML Ops are: Amazon (59), JPMorgan Chase (40), Deloitte (38), Adobe (31), Apple (30).
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.
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.
Job postings that mention ML Ops most often also require: Machine Learning, Python, Agentic Systems, Production ML Systems, Large Language Models (LLMs).
10 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| GE Healthcare | Senior Staff AI Scientist | Healthcare | 9 | L4 |
| GE Healthcare | AI Scientist | Healthcare | 9 | L1 |
| GE Healthcare | AI Algorithm and Development Software Engineer | Healthcare | 9 | L4 |
| GE Healthcare | Senior AI Application Engineer, Enterprise AI | Healthcare | 8 | L4 |
| GE Healthcare | Principal AI Architect | Healthcare | 8 | L4 |
| GE Healthcare | Senior Manager - AI & Cloud Engineering | Healthcare | 8 | L3 |
| GE Healthcare | Principal AI Architect | Healthcare | 8 | L4 |
| GE Healthcare | AI / ML Architect | Healthcare | 7 | L6 |
| GE Healthcare | Staff AI/ML Engineer | Healthcare | 7 | L3 |
| GE Healthcare | Senior Director - Software Subscription AI | Healthcare | 7 | L4 |