What Does a MLOps Engineer Do?
An MLOps engineer makes machine learning reliable in production: reproducible training pipelines, model registries, automated deployment, monitoring for drift, and retraining workflows. They apply DevOps practice to the ML lifecycle.
As companies move from ML experiments to real products, this role has become essential — and it is thoroughly cloud-based and remote-friendly.
Key skills
- Python
- ML pipelines & orchestration
- Docker & Kubernetes
- Cloud ML platforms
- Model monitoring
- CI/CD
Remote MLOps Engineer salary
A remote MLOps Engineer typically earns $115k – $200k per year (USD base salary). The range runs roughly from junior to senior — where you land depends on experience, region, and whether the employer pays by location or uses global pay.
For how remote pay is actually set, and how to negotiate it, read our remote salary guide and offer-negotiation guide.
Open remote MLOps Engineer jobs
No MLOps Engineer roles are open right now. Check the MLOps Engineer jobs page or browse all remote jobs — new roles are posted daily.