Lead Machine Learning Engineer

About Us

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 and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

We are looking for a Lead Machine Learning Engineer (Sage Maker, MLOps, Explainability) to design, build, and product ionise machine learning models that power our new matching platform. You will work across the full ML lifecycle—feature engineering, model development, training pipelines, deployment automation, inference optimisation, monitoring, and explainability.
In this role, you will make strong hands‑on technical contributions, take ownership of key components of the ML platform, and collaborate closely with data scientists, platform engineering, and product teams. You will help improve our MLOps practices, enhance observability, and ensure that our ML systems meet standards for security, performance, and compliance.
This role is suited to an experienced engineer who can deliver production‑grade ML systems, influence design decisions, and maintain high technical standards, while still working primarily as an individual contributor.

• Build and maintain scalable feature pipelines within data lakehouse architectures.
• Develop fallback feature flows (e.g., export paths).
• Implement robust data quality checks and contribute to the adoption of feature store patterns.

• Develop ranking, scoring, and entity‑similarity models fit for the matching platform.
• Implement calibrated confidence scores, thresholds, and model scoring logic.
• Use modern ML Model frameworks such as PyTorch, Tensor Flow, or XGBoost.
• Collaborate with data scientists on model design and performance improvements.

• Apply SHAP or similar techniques to generate interpretable model explanations.
• Produce reason codes suitable for business, operational, or regulatory consumption.
• Ensure explainability outputs are versioned, tested, and integrated into inference workflows.

• Build and maintain training, processing, and inference pipelines…