About this role
Senior ML Ops Engineer at Xantura. Location: London, England, United Kingdom. Role: deploying models, maintaining infrastructure, building pipelines Requirements: 4+ years MLOps/platform experience, strong Python, Azure-native MLOps, Kubernetes, CI/CD, IaC (Terraform/Bicep/Pulumi), monitoring (Prometheus/Grafana), and pipeline orchestration (Dagster/Airflow/Prefect). Category: Software Development Seniority: Mid Level Tools: Python, Azure ML, AKS, Dagster, Kubernetes, Azure DevOps, Terraform, Bicep, Pulumi, Prometheus, Grafana, Airflow, Prefect, Qdrant, Azure Kubernetes Service, Azure Container Registry, Azure Blob Storage, Azure Monitor, Azure Key Vault Commitment: Full Time Workplace: Hybrid Languages: English