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DevOps Engineer with Ai experience - 12 Monhs - Remote

Stealth IT ConsultingUnited Kingdom🇬🇧United KingdomPosted 8 Oct 2026

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Remote
Location
United Kingdom
DockerAWSMLOpsAzureGenerative AIGoogle CloudKubernetesLLM

Job Description

Job Title: DevOps Engineer with Ai experience
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 containerised workloads using Docker and Kubernetes.
  • Support cloud platforms such as Microsoft Azure, AWS or Google Cloud Platform, with 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 operationalisation 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 productionise 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.

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