6 of 6 Azure DevOps Jobs in Gloucestershire

performance management, including the development and transition to fixed-cost contracts and Statements of Work. Facilitate Agile ceremonies and ensure adherence to Agile principles, using tools such as Azure DevOps to manage delivery workflows and maintain project momentum. Promote and uphold health, safety, and environmental standards across all programme activities, fostering a culture of continuous improvement … reporting for senior stakeholders. Agile Leadership: Experienced in facilitating Agile ceremonies such as Sprint Planning, Daily Stand-ups, Retrospectives, and Reviews. Skilled in applying Agile principles and using Azure DevOps to manage delivery workflows, resolve impediments, and maintain project momentum. Software Development Lifecycle (SDLC): Strong understanding of software engineering processes, including requirements gathering, design, development, testing More ❯

Job Title: Azure Virtual Desktop (AVD) SME SC Clearance Location: Gloucester Business Park, UK/Remote Department/Practice: IT Infrastructure Special Working Conditions: Must be ready to work out of hours (based on project requirements). Ability to work remotely with occasional, ad-hoc travel to Gloucester Business Park. Job Purpose and Primary Objectives You will work … as an Azure Virtual Desktop (AVD) SME responsible for AWS workspace migration to AVD within 3 months. You will be involved in running, operating, and developing the AVD Environment for Developers and Standard users across geographies worldwide. You will support and administer the Azure Virtual Desktop estate, ensuring secure, performant, and highly available remote working environments. … The AVD environment consists of Single and Multisession AVDs, managed from Azure Portal and Infrastructure as Code with DevOps CI/CD pipelines using Terraform, Azure CLI, ARM Templates, and PowerShell Scripts. You will be responsible for creating, supporting, and maintaining the Windows environment and related infrastructure (Group Policies, OU, Application Configuration, patching, etc. More ❯

monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as … Establishing best practices for model deployment, monitoring, and lifecycle management Conducting performance tuning, load testing, and reliability engineering Managing CI/CD workflows and infrastructure as code via Azure DevOps and GitHub Mentoring junior engineers and fostering a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven … experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical direction Bonus: experience with Azure Functions More ❯

Knowledge of Custom Application Development within ServiceNow Additional Certifications: ServiceNow Certified Application Developer (CAD) Certifications in ITSM, ITOM, HRSD, or IntegrationHub Integration Tools: Familiarity with IntegrationHub Spokes (e.g., Azure, AWS, Microsoft Teams) DevOps and CI/CD: Experience using Git, Jenkins, or ServiceNow App Repo for version control and deployment Agile/Scrum Methodology: Experience working … in Agile environments with tools like Jira or Azure DevOps Other Technical Skills: Basic knowledge of HTML, CSS, AngularJS, or Bootstrap for UI customization Familiarity with PowerShell or Python for backend or external automation Soft Skills: Strong communication and stakeholder management skills Ability to translate business requirements into technical solutions Special Working Conditions Should be ready More ❯

the infrastructure that supports machine learning models in a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake … in an agile environment Supporting analytics, model deployment, and data-driven decision tools Conducting performance, load, and end-to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with … Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights Benefits for the Machine Learning Operations Engineer: 25 days holiday (rising with service), plus bank holidays Annual discretionary bonus Enhanced Pension scheme Flexible working and flexi More ❯

coding . Solid understanding of JavaScript within APEX applications. A disciplined approach to configuration control and development best practice. Experience working in Agile environments with tools such as Azure DevOps and Scrum. Excellent stakeholder communication skills, with the ability to work collaboratively across teams. Why Apply? This is a chance to contribute to mission-critical defence More ❯