LSEG
Senior Lead Machine Learning Engineer
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The 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 Experience
- Demonstrable 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 & Architecture
- 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.
MLOps, Deployment & Operations
- Deep 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.
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Model Development, Governance & Explainability
- Deep 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.
- Strong knowledge of model governance, explainability, traceability, auditability, SHAP, Model Cards, and model documentation practices.
- Experience establishing governance frameworks that ensure models are explainable, reproducible, and compliant with enterprise standards.
Testing, Validation & Performance Engineering
- Lead 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.
Nice to Have
- Background in ranking, search relevance, entity matching, or similarity modelling.
- 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.
Career Stage
- Manager
London 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.
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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.
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