# ML Platform Lead Engineer

**Company**: London Stock Exchange Group (LSEG)
**Location**: IND-BLR-Divyasree Technopolis
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-BLR-Divyasree-Technopolis/ML-Platform-Lead-Engineer_R0122614?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_14a269d3-6ef

## Description

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.

## Skills

### Required
- AWS
- Python
- Docker
- Kubernetes
- Terraform
- GitLab CI/CD

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-BLR-Divyasree-Technopolis/ML-Platform-Lead-Engineer_R0122614?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)