Rate: £570 (Inside IR35)
Duration: 12 Months
Location: Remote
Clearance: BPSS/SC eligible
Stages: 1 Stage

Key Responsibilities

• Design, build, and maintain highly available cloud infrastructure supporting applications, data platforms, and AI/ML workloads.
• Develop and maintain CI/CD pipelines for applications, infrastructure, and machine-learning models.
• Implement MLOps practices covering model development, validation, deployment, monitoring, and life cycle management.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC).
• Implement DevSecOps controls throughout software development and deployment pipelines.
• Deploy and operate containerized workloads using Docker and Kubernetes.
• Support cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform, with a strong preference for Azure experience.
• Build automated monitoring, logging, alerting, and observability solutions.
• Support AI/ML workloads including model serving, model monitoring, data pipelines, and AI platform infrastructure.
• Implement secure APIs and integration patterns for AI-enabled applications.
• Support the deployment and operationalization of Generative AI and Large Language Model (LLM) solutions where appropriate.
• Implement controls for AI model versioning, reproducibility, performance monitoring, and governance.
• Work with data scientists and ML engineers to productionize models.
• Identify and resolve infrastructure, application, and deployment issues across development, test, and production environments.
• Improve system reliability, scalability, performance, and operational efficiency through automation.
• Develop operational documentation, runbooks, and technical standards.
• Participate in incident management, problem management, and continuous improvement activities.
• Work collaboratively with software engineers, architects, data engineers, security specialists, and product teams.