ML Platform Lead Engineer
LSEG is hiring an ML Platform Lead Engineer. Level rates it ; you can apply on Level.
AI in this role
Design, build, and automate cloud infrastructure and deployment pipelines for a centralized AI/ML platform on AWS.
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
- AWS
- Strong hands-on experience with AWS services including SageMaker, Bedrock , EC2, VPC, IAM, S3, RDS and EKS,
- Python
- 5+ years of experience developing automation scripts, deployment utilities, infrastructure tooling, and operational automation using Python.
- Docker & Kubernetes
- 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.
- Terraform
- 3+ 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:
ManagerLondon 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.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
ML Platform Lead Engineer at LSEG rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where cloud engineering was part of your work. What did you do?
- Tell me about a project where ci cd was part of your work. What did you do?
- Walk me through how you've used Bedrock in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: MLOps, Infrastructure As Code, Cloud Engineering, Ci Cd, and Bedrock. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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