Machine Learning Consultant

We are hiring for MLOps Engineer – Microsoft Azure Location: London / Horsham - Hybrid / 3 days Per week in Office * Experience in Software Engineering, Platform Engineering, DevOps, MLOps, or a related discipline. * Hands-on experience building and operating production MLOps platforms. * Hands-on experience designing and implementing Azure-based MLOps architectures. * Extensive experience with Azure Kubernetes Service (AKS) and production Kubernetes environments. * Proven experience implementing ML monitoring, observability, model performance monitoring, and model lifecycle management. * Strong experience designing and implementing CI/CD and Continuous Training pipelines. * Hands-on experience with Infrastructure as Code (IaC). Key Skills: Machine Learning / Platform Engineering / Azure Kubernetes Service / IAC / ML Monitoring / observability / ML Monitoring