15 of 15 Deployment Automation Jobs in the West Midlands

solutions within customer environments across on-premise, hosted and cloud infrastructures. This is a hands-on technical consultancy role combining software implementation, infrastructure troubleshooting, deployment automation and customer-facing technical delivery. You'll work closely with customers, project teams and service teams to deploy, support and optimise critical … healthcare software platforms. Success in this role requires strong Microsoft infrastructure experience, excellent troubleshooting skills and the ability to automate deployment activities using tools such as PowerShell, YAML and Azure DevOps. This is not a DevOps or Platform Engineering role. We're seeking someone with a strong infrastructure ...

Lambda. Designing and building cloud-native applications. Containerisation and Kubernetes. Observability, monitoring and logging platforms such as Grafana. CI/CD pipelines and automated deployment practices. GitLab experience. Experience supporting or modernising legacy business applications. Experience with distributed or event-driven systems. Comfortable using AI-assisted development tools ...

architecting, implementing, and maintaining secure, scalable, and highly available cloud infrastructure across GCP and Azure. This role requires technical expertise in cloud-native services, automation, and security, and will drive the adoption of Infrastructure as Code (IaC), CI/CD, and DevSecOps practices. What you'll do Design, build … using GCP and Azure, ensuring adherence to architectural guardrails and tagging standards. Develop and maintain secure, multi-region, multi-account cloud landing zones using automation frameworks. Implement advanced networking (VPC, VPN, hybrid connectivity, load balancing, DNS, CDN) and security controls (IAM, RBAC, KMS, firewalls, SIEM integration). Automation ...

Strong SQL skills and experience working with cloud data platforms such as Snowflake. Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment management. Understanding of Data Product concepts, metadata, governance, and documentation practices. Good-to-have experience in Power BI for reporting, dashboards ...

Join a leading UK professional services firm as it expands its use of AI, automation and modern application technologies. You will build the DevOps foundations that move solutions from proof of concept into secure, reliable and supportable production services. Client Details Our client is a large and well established … broad range of technical fields, combining deep sector expertise with an increasing investment in modern technology. The organisation is expanding its use of AI, automation and cloud-based applications to improve internal operations and the services it provides to clients. This creates an excellent opportunity to join ...

Overview Salary: $89,565 a year Job Type: Full-time Job Duties Develop scripts (PowerShell, Python, Ruby, BASH) on Windows/Linux systems for automation of the build, release process and automate deployment and release distribution process. Formulates Cloud architectures for business solutions ranging from independent to complex … Azure Service Fabric, Azure Container Service, Azure Data Lake Storage, Azure Functions, Azure Logic Apps. Building and maintaining tools, solutions and microservices associated with deployment and operations platform, ensuring that all meet our customer service standards and reduce errors. Design, configure and deploy Microsoft Azure for a multitude ...

products need to be as reliable and secure as the physical security solutions we deliver. This role exists to build and maintain the infrastructure, automation and deployment pipelines that keep our Laravel-based applications running smoothly, securely and at scale. The DevOps Laravel Engineer will work within … between cloud infrastructure and application engineering—ensuring event queues, databases, and background workers scale effortlessly during real-time alarm surges, while embedding automated deployment pipelines that help our developers ship quality code safely, predictably, and with full architectural sign-off. Key Responsibilities 1. Infrastructure and environments Build, maintain ...

closely with other Infrastructure engineers, Solutions Architects and information security professionals to design and create infrastructure solutions, deploy new features and continuously improve performance, automation, and resilience. What you will be doing... Design, build, and maintain Azure services including App Service, Azure SQL Database, Application Gateway, API Management, Storage … using Terraform and scripting knowledge (PowerShell, bash). Experience building and managing CI/CD pipelines with Azure DevOps, experience working with build and deployment orchestration tools. Solid understanding of cloud networking: VNets, NSGs, firewalls, load balancers, DNS Knowledge of security best practices: RBAC, Managed Identities, Key Vault Ability ...

within our internal tax technology function to design and deliver AI-powered agents, automated workflows, and scalable integrations across enterprise platforms. The Senior AI Automation Engineer role sits at the intersection of applied AI, software engineering, and automation. You will build production-grade AI systems, orchestrate complex workflows … delivering working systems into production within a governed enterprise environment. You will see your work used quickly in real operations, with AI tools and automation adopted directly by internal tax teams. The focus is on delivering high-impact solutions, measuring outcomes, and iterating based on real-world usage. ...

independent Quality Assurance review. Apply controls appropriate to each product. Physical productsrequire controlled design baselines and production readiness, while cloudservices may use automated deployment and progressive release. Maintain suitable security practices across hardware, firmware,software and development infrastructure. Manage Engineering Managers and senior engineering leaders. Set objectives and conduct ...

responsibilities Partner with Data Scientists to transition models from experimentation into scalable, production-ready applications and services Design, build, and maintain MLOps frameworks, deployment pipelines, and automated model lifecycle processes Develop and support CI/CD pipelines, version control frameworks, and automated testing processes for machine learning solutions Build … solid understanding of engineering best practices, testing, code quality, and maintainability Experience building CI/CD pipelines, MLOps frameworks, and automated machine learning deployment processes Hands-on experience with Azure Databricks or similar machine learning platforms (ie MLFlow, KubeFlow, SageMaker etc) Experience building APIs, microservices, and cloud-based solutions ...

consultancy seeking an experienced AWS DevOps Technical Consultant. You'll join a fast-paced Agile delivery team, designing and building secure AWS infrastructure, automated deployment pipelines and shared platform services for high-profile UK Government and Defence projects. This is a hands-on technical leadership role for someone experienced … automated CI/CD pipelines Develop reusable Infrastructure as Code using tools such as Terraform Build and operate platforms for containerised applications Support software deployment, monitoring and operational performance Lead technical delivery throughout the full project lifecycle Advise customers on AWS architecture and technology choices Manage senior stakeholder relationships ...

Tableau or Qlik Sense is desirable though not essential, Experience with unsupervised ML techniques such as clustering is desirable Cloud, basic data engineering and deployment experience is desirable including Git, continuous integration and delivery, automated testing and model deployment within platforms such as Azure, Snowflake or Databricks. Experience ...

doing Deploy, monitor and maintain forecasting, optimisation, machine learning and AI solutions in production environments. Build and manage model monitoring, automated testing, deployment processes and operational support capabilities for machine learning and AI solutions. Work closely with Data Scientists to productionise analytical models and ensure they remain reliable, scalable … What you'll bring Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, Data Scientist or similar quantitative role. Experience supporting the development, deployment or operation of forecasting, optimisation or machine learning models within a business environment. Strong Python programming skills, including experience with libraries such as pandas ...

. Core competencies include but are not limited to: Windows Build/Image Management, Apple Mac Build/Image Management, Virtual Desktop Infrastructure, Software Deployment, PowerShell scripting/automation. Works independently as well as part of a tight-knit team, provides forward thinking solutions that drive both infrastructure … full system architecture stack. Responsibilities Executes increasing variety of user stories with different contexts across the different stages of the product lifecycle Uses automation, system tools, open-source solutions, observability and 'security first' principles in daily work Contributes to team agile ceremonies, leads demos and presentations, helps new engineers ...