Senior Lead Machine Learning Engineer

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference.

Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity

We're looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production-scale machine learning solutions (ideally on AWS Sage Maker).

You will provide technical leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This is a hands‑on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production.

• Demonstrable success designing and delivering enterprise-scale ML platforms and products (ideally using AWS Sage Maker).
• Proven experience delivering ML solutions from data ingestion and feature engineering through to production deployment, monitoring, and continuous improvement.
• Experience building reliable, low-latency inference services and operating ML workloads at scale.
• Proven experience solving scaling, reliability, and operational challenges for enterprise ML systems.

• Defining end-to-end ML architectures spanning data pipelines, feature engineering, model training, deployment, inference, monitoring, and telemetry.
• Establishing engineering standards and operational excellence.
• Implementing feature stores, Lakehouse architectures, and enterprise data quality frameworks.
• Coaching engineers, reviewing designs, and driving technical direction.

• Deep hands‑on experience with Sage Maker Pipelines, Training, Processing, Model Registry, Endpoints, Monitoring, and deployment workflows.
• CI/CD, infrastructure as code, model lifecycle…