Machine Learning Lead Engineer in London

About Us:LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. 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. 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. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversityThe Role: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 SageMaker).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.Essential ExperienceDemonstrable success designing and delivering enterprise-scale ML platforms and products (ideally using AWS SageMaker).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.Technical Leadership & ArchitectureDefining end-to-end ML architectures spanning data pipelines, feature engineering, model training, deployment, inference, monitoring, and telemetry.Implementing feature stores, Lakehouse architectures, and enterprise data quality frameworks.Coaching engineers, reviewing designs, and driving technical direction.MLOps, Deployment & OperationsDeep hands-on experience with SageMaker Pipelines, Training, Processing, Model Registry, Endpoints, Monitoring, and deployment workflows.CI/CD, infrastructure as code, model lifecycle management, and automated retraining.Observability, drift detection, experimentation, and performance engineering.Multi-account AWS deployments and cross-account ML platforms.Model Development, Governance & ExplainabilityDeep experience applying a wide range of machine learning techniques to real-world business problems, including using models such as XGBoost and deep learning approaches using frameworks such as PyTorch or TensorFlow, taking solutions from experimentation through to production deployment and operation.Testing, Validation & Performance EngineeringLead validation strategies using golden datasets, behavioural tests, and benchmark suites.Architect performance testing for latency‑sensitive inference paths and model hot paths.Establish standards for A/B testing, shadow deployments, canary rollouts, and controlled experiments.Experience in KYC, Sanctions Screening or Compliance domains.Knowledge of distributed training, GPU/accelerator optimisation, and scaling strategies.Bachelors in a STEM subject, e.g. mathematics, physics, engineering, computer science, or adjacent degrees.Masters or PhD or equivalent experience in STEM.ManagerLondon Stock Exchange Group (LSEG) Information:Join us and be part of a team that values innovation, quality, and continuous improvement. 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. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.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. 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.London, United KingdomType: Full time