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Senior MLOps Engineer
GREATER LONDON · GB
—
Contract
SENIOR
About the Role
Design, implement, and optimize enterprise-scale MLOps platforms on Microsoft Azure, leveraging Kubernetes for orchestration. Responsibilities include model lifecycle management, observability, low-latency inference, and platform reliability. Candidates must have 8+ years of experience in software or platform engineering.
Responsibilities
- Design and implement enterprise-scale MLOps platforms on Microsoft Azure
- Manage model lifecycle and optimize for low-latency inference
- Ensure observability, monitoring, and platform reliability
Requirements
- 8+ years of experience in Software or Platform Engineering
- Experience with Microsoft Azure and Kubernetes
- Knowledge of MLOps practices and model lifecycle management
Tech Stack
AzureKubernetes
EW
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