Hybrid DevOps Engineer – ML

Posted 19 hours ago

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About the role

  • DevOps Engineer responsible for building and maintaining scalable AI systems on Azure cloud. Collaborating with teams to ensure operational excellence for enterprise-grade AI solutions.

Responsibilities

  • Design, implement, and maintain MLOps pipelines for AI/ML assets deployed as managed online endpoints in Azure Machine Learning.
  • Implement CI/CD workflows for AI solutions using Azure DevOps and Azure CLI.
  • Ensure compliance, security, and scalability of AI systems across environments.
  • Build monitoring dashboards to track performance, data drift, and system health, and implement alerting and remediation strategies.
  • Manage promotion of AI/ML assets (models, apps, containers) across development, staging, and production environments.
  • Automate deployment, monitoring, and lifecycle management of AI systems, including Azure Speech Services and OpenAI models.
  • Assist in deploying and maintaining Flask-based applications that consume Azure ML endpoints.

Requirements

  • 5+ years of experience in MLOps or related roles with a focus on Azure cloud platform
  • Strong proficiency in Azure AI services (Azure Machine Learning, Cognitive Services, Azure Speech Services, Azure OpenAI)
  • Hands-on experience with CI/CD pipelines using Azure DevOps and Azure CLI
  • Proficiency in Python and experience with Azure SDKs for AI services
  • Solid understanding of containerization (Docker) and orchestration (Kubernetes, AKS)
  • Experience with monitoring and logging solutions for AI systems (Azure Monitor, Application Insights) and building dashboards
  • Knowledge of identity and access management in Azure (Managed Identity, RBAC)
  • Strong understanding of AI/ML asset lifecycle management, including promotion across environments.

Benefits

  • 25 days holiday, increasing through length of service, with option to buy or sell
  • Bupa health insurance as a benefit in kind
  • An enhanced pension plan and life insurance
  • Onsite gyms or local discounts where no onsite gym available
  • Various other benefits and online discounts

Job title

DevOps Engineer – ML

Job type

Experience level

Mid levelSenior

Salary

£58,400 per year

Degree requirement

Bachelor's Degree

Location requirements

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