ML Platform Lead Engineer

About the role

The Markets and Corporate Engineering Divisions in LSEG has embarked on a Data Science and AI/ML Transformation Program. The objective is to establish a new, centralized, and secure cloud-native platform Data Science and AI/ML on AWS to support modern application and infrastructure delivery.

What you'll do

• As a ML Platform Lead Engineer, you will play a key role in designing, building, automating
• Design, implement, and manage highly available, secure, and scalable AWS cloud infrastructure using Infrastructure as Code (IaC)
• Build, manage, and optimize CI/CD pipelines using GitLab (or equivalent tools) to enable automated application deployment
• Deploy, configure, and maintain containerized applications using Docker and Kubernetes
• Automate operational tasks, deployments, monitoring, and infrastructure provisioning using Python and Terraform

What you need

• 5–9 years in devops & cloud
• Machine learning
• AWS
• CI/CD
• Terraform
• Kubernetes
• Docker
• Any graduate

Good to have

• Python
• Helm
• Jenkins
• Azure
• Git
• IAM