3 of 3 Azure Machine Learning Jobs in Wokingham

Your responsibilities: Collaborate with data scientists/forecaster to deploy machine learning models into production environments. Follow deployment strategies in place to ensure safe and controlled rollouts. Design and manage the infrastructure required for hosting ML models, including Azure cloud resources. Utilize containerization … ML models Desirable skills/knowledge/experience: 5+ years of experience in MLOps, DevOps or a related field. Strong understanding of machine learning principles and model lifecycle management. Passionate about making things work iteratively and automating + scaling them Deep knowledge of software development ...

looking for an experienced Azure MLOps Engineer to join a growing team responsible for building, deploying, and maintaining scalable machine learning solutions on Microsoft Azure. You will work closely with Data Scientists, DevOps Engineers, Architects, and Software Developers to deliver reliable, secure … automated MLOps platforms supporting large-scale data processing and production ML workloads. Key Responsibilities Deploy machine learning models into Azure production environments. Design, implement, and maintain Azure MLOps infrastructure. Build and manage CI/CD pipelines for machine ...

initially Role Overview Our client is seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will help deliver scalable, secure … large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines ...