Lead ML Architect – Production on AWS SageMaker

LSEG; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Lead ML Engineer to lead production-scale ML solutions, preferably on AWS SageMaker.

You will provide technical leadership across the ML lifecycle, define architectures, MLOps practices, and governance for a large-scale matching platform. This hands-on role requires building, deploying, monitoring, and operating ML systems in production.

Qualifications

• Enterprise-scale ML platforms design and delivery experience (prefer AWS SageMaker).
• Experience from data ingestion to production deployment and monitoring.
• Ability to build low-latency inference services at scale.
• Proven ability to solve reliability and operational challenges for enterprise ML.
• Strong governance, explainability, and model documentation practices.

Responsibilities

• Define end-to-end ML architectures spanning data pipelines to deployment and telemetry.
• Lead engineering standards and operational excellence in ML.
• Coach engineers, review designs, and define technical direction.
• Ensure models are explainable, reproducible, and compliant with standards.
• Oversee ML deployment workflows including SageMaker Endpoints and monitoring.

Skills

AWS SageMaker

ML lifecycle leadership

MLOps & CI/CD

Model governance & explainability

Python (PyTorch/TF)

Education

Bachelor in STEM

Master or PhD in STEM

Tools

SageMaker Pipelines

PyTorch

TensorFlow

XGBoost

SageMaker

Job description

London Stock Exchange Group (LSEG) is seeking a Senior Lead ML Engineer to lead production-scale ML solutions, preferably on AWS SageMaker.

You will provide technical leadership across the ML lifecycle, define architectures, MLOps practices, and governance for a large-scale matching platform. This hands-on role requires building, deploying, monitoring, and operating ML systems in production.