Senior MLOps Engineer

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Senior MLOps EngineerLocation: London/HorshamDuration: 01/02/2027 Role Overview We are seeking an experienced Senior MLOps Engineer to support the design, implementation, and optimisation of enterprise-scale MLOps platforms on Microsoft Azure. Working closely with Solution and Enterprise Architects, the successful candidate will help build and operate scalable machine learning platforms on Kubernetes, with a focus on model life cycle management, observability, low-latency inference, platform reliability, and cost efficiency. Key Responsibilities Partner with Architects to design and implement end-to-end MLOps solutions on Azure. Build and operate scalable ML platforms using Azure Kubernetes Service (AKS) and cloud-native technologies. Develop CI/CD and Continuous Training (CT) pipelines for machine learning workloads. Deploy, manage, and optimise ML workloads in Kubernetes environments. Implement model serving capabilities that meet high-availability and low-latency requirements. Configure autoscaling, traffic management, rollback strategies, and resource governance. Manage containerised ML applications using Docker, Kubernetes, Helm, and GitOps practices. Implement monitoring and observability across: Model performance and drift Application performance and platform health Infrastructure and operational ..... full job details .....