indeed
MLOps Engineer
CoreWeave Europe
London, GBR
Onsite
Discovered 1 weeks ago
MLOpsML platform engineeringProduction ML pipelinesExperiment trackingModel registriesArtifact versioning
Free
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MLOpsML platform engineeringProduction ML pipelines
Role Overview
The MLOps Engineer owns machine learning operations across experimentation, training, packaging, deployment, serving, and retirement.
The role defines MLOps practices, establishes operational SLOs and SLAs, and improves reliable production deployment.
Key Skills for This Role
MLOpsML platform engineeringProduction ML pipelinesExperiment trackingModel registriesArtifact versioning
Full Job Posting
About CoreWeave
CoreWeave provides cloud infrastructure, technology, tools, and teams for building and scaling AI applications.
The Physical AI Platform Engineering team builds the data and workflow backbone for engineering simulation and AI workflows.
About the role
The MLOps Engineer owns machine learning operations across experimentation, training, packaging, deployment, serving, and retirement.
The role defines MLOps practices, establishes operational SLOs and SLAs, and improves reliable production deployment.
What you will do
- Build automated CI/CD and continuous training pipelines.
- Implement model observability, data versioning, and drift monitoring.
- Ensure security and governance controls for ML operations.
- Partner with product, data science, and core infrastructure teams.
- Optimize GPU compute utilization and resolve platform incidents.
- Mentor engineers on production-grade ML practices.
Who you are
- 5–6+ years of experience in MLOps, ML platform engineering, ML infrastructure, or SRE/DevOps for production ML systems.
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