Azure Platform Engineer -AI/ML
This position is 90% remote
We’re looking for a highly skilled Azure Platform Engineer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to support a key enterprise project. This role is focused on deploying and optimising AI/ML workloads on Azure, and will involve working closely with our engineering and data science teams to ensure our platform is robust, secure, and scalable.
This is a hands-on engineering role that requires a deep understanding of the Azure ecosystem, especially how it’s tailored in enterprise environments.
Key skills
- Design, build and manage scalable Azure environments for AI/ML solutions
- Support deployment of custom AI models using Azure Machine Learning and related services
- Collaborate with data scientists and ML engineers to productionise AI workloads
- Strong expertise with Azure services (Azure ML, Azure Kubernetes Service, Azure Data Lake, Synapse, etc.)
- Experience in enterprise Azure environments, including common customisations (e.g. private networking, policy, RBAC)
- Strong understanding of cloud infrastructure, DevOps practices, and CI/CD pipelines
- Proficiency with IaC tools - Bicep, ARM, or Terraform
- Familiarity with security and compliance requirements in enterprise settings
- Customise Azure platform components to align with enterprise security, networking, and compliance requirements
- Optimise infrastructure for performance and cost efficiency
- Develop and maintain Infrastructure as Code (IaC) using tools like Bicep, ARM templates, or Terraform
- Troubleshoot and resolve complex platform and deployment issues
- Proven experience deploying AI/ML solutions on Azure
Please send across an updated CV if this position is of interest
GCS is acting as an Employment Business in relation to this vacancy.