4 of 4 DevOps Jobs in Wokingham

/CD pipelines using tools such as Jenkins or Azure DevOps. Lead automation testing activities across multiple projects. Collaborate with development, QA, and DevOps teams to improve test coverage and delivery quality. Monitor test execution, defects, and quality metrics. Provide technical guidance and support to other automation engineers. Essential Experience ...

ideal candidate will bring strong expertise in Power BI, Microsoft Fabric and associated languages such as DAX, SQL and Power Query. Familiarity with Azure DevOps and PySpark/Python would be beneficial as would experience of working with cloud-based data solutions. Principal Responsibilities Report Development: Develop and deploy Power … relevant stakeholders to align solution design and delivery. Respond to support issues and communicate effectively with business users. Store code and artifacts in DevOps repositories in line with agreed practices. Partner with EMEIA BI Solution Architects and AI experts to explore and deliver AI-enabled reporting capabilities. Data Analysis ...

tracking to maintain data integrity. Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints. Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Continuously optimize and fine-tune ML models for better performance. Identify and address bottlenecks … technical stakeholders, providing insights into the performance and impact of 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 ...

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-time inference workloads. Key Responsibilities Deploy … manage ML models in production using Azure Machine Learning. Design and maintain 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 ...