2 of 2 Data Engineering 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 technologies like Docker to package models … Implement auto-scaling mechanisms to handle varying workloads efficiently such as parallel run Enforce security best practices to safeguard both the models and the data they process. Ensure compliance with industry regulations and data protection standards. Oversee the management of data pipelines and data storage systems ...

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, and reliable MLOps platforms supporting large-scale data processing and real … Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines for ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical ...