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DevOps Engineer with Ai experience - 12 Monhs - Remote
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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