8 of 8 Azure Jobs in Wokingham

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 ...

Title: Azure MLOps Engineer Location: Wokingham, UK Employment Type: Contract Duration: 6 months Work Mode: Office-based (5 days per week) Rate: Up to £450/day About the Role We are looking for an experienced Azure MLOps Engineer to join a growing team responsible for building, deploying … deliver reliable, secure, and 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 learning solutions using Azure DevOps. ...

. Create, maintain, and execute automation scripts using VBScript. Integrate automated test suites into CI/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 ...

considered) Start Day: ASAP Contract Rate: £460 per day inside IR35 Duration: 6 months 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 … reliable MLOps platforms supporting 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 for ML artefacts. Implement monitoring ...

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 and dependencies. Establish Azure monitoring solutions to track the performance and health … making things work iteratively and automating + scaling them Deep knowledge of software development and engineering in combination with ML models Experience in development Azure Machine Learning or any MLOPs frameworks Experience with SQL and noSQL environments, Azure SQL database and Storage Account blob is must Proficiency ...

What Youll Be Doing Building C#/.NET/ASP.NET Core applications Designing APIs & microservices Working on high-volume, transaction-heavy platforms Deploying to Azure/AWS Owning features end-to-end in a product team What Youll Need Strong C#/.NET Core/Web API experience Solid …/database skills Experience in modern Agile engineering teams Bonus: Azure, Microservices, React/Blazor, CI/CD Why Join? Product business build, not bill Modern stack Real ownership & progression No legacy/no BAU grind Hybrid working (2 days Reading/3 WFH) Up to £85k + bonus ...

LangChain, Semantic Kernel, AutoGen, or similar Experience designing, evaluating, and optimising prompts for Large Language Models Experience deploying AI solutions into cloud environments, ideally Azure Strong understanding of software engineering best practices and scalable system design The AI Engineer will ideally have the following attributes: Experience building multi-agent … autonomous AI systems Knowledge of the Model Context Protocol (MCP) and AI integration patterns Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search Experience working with OpenAI and other leading foundation models Knowledge of real-time AI pipelines, including speech-to-text and streaming ...

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 click apply for full job details ...