ML Platform Lead Engineer

Corporate Overview 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. The operating model is a federated model with Core Engineering teams based in London/Bucharest/Bangalore and Engineers embedded within each Business division to drive adoption, automation, and platform engineering standards. Key Responsibilities 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. 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 AWSStrong hands-on experience with AWS services including SageMaker, Bedrock , EC2, VPC, IAM, S3, RDS  and EKS,  Python5+ years of experience developing automation scripts, deployment utilities, infrastructure tooling, and operational automation using Python. Docker & KubernetesStrong 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. Terraform3+ years of experience provisioning and managing AWS infrastructure using Terraform. Experience developing reusable Terraform modules and managing remote state. GitLab CI/CD (or equivalent)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. We're proud to have been recognised as a Great Place to Work® in India ‘25 Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.