ML Platform Lead Engineer

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

As a ML Platform Lead Engineer, you will play a key role in designing, building, automating, and supporting cloud infrastructure and deployment pipelines across the Data Science and AI/ML platform.

Key Responsibilities:

• 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.
• Collaborate with development, architecture, and infrastructure teams to improve software delivery, reliability, and operational excellence.
• Support migration of applications and services to AWS cloud infrastructure.
• Implement security best practices, monitoring, logging, and disaster recovery strategies across cloud environments.
• Promote DevOps culture, automation-first practices, and infrastructure standardization across engineering teams.

Required Skills:

• Strong hands-on experience with AWS services including SageMaker, Bedrock, EC2, VPC, IAM, S3, RDS, and EKS.
• 5+ years of experience developing automation scripts, deployment utilities, infrastructure tooling, and operational automation using Python.
• Strong experience containerizing applications using Docker.
• Hands-on experience deploying and managing Kubernetes clusters (preferably Amazon EKS).
• Experience with Helm charts, Kubernetes networking, ingress controllers, autoscaling, and rolling deployments.
• 3+ years of experience provisioning and managing AWS infrastructure using Terraform.
• Experience developing reusable Terraform modules and managing remote state.
• Hands-on experience creating scalable DevOps automation solutions with GitLab CI/CD, Jenkins, Azure DevOps, and GitHub Actions.
• Experience implementing automated build, test, deployment, and release pipelines.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.