Senior Lead Machine Learning Engineer
Core
Lead the end-to-end lifecycle of a large-scale matching platform, defining architecture, engineering standards, and MLOps practices for production ML systems.
Role type
Senior Lead Machine Learning Engineer (Hands-on IC with technical leadership)
Builds
Production-scale ML platforms and matching services on AWS SageMaker
Domain
Financial markets infrastructure and data
Deliverable
production ML models
Required skills
AWS SageMaker, MLOps, low-latency inference, scaling ML systems, feature stores, Lakehouse architectures, model governance, explainability (SHAP), CI/CD, infrastructure as code, PyTorch, TensorFlow, XGBoost
Preferred skills
Ranking, search relevance, entity matching, similarity modelling, KYC, Sanctions Screening, distributed training, GPU optimization
Technologies
AWS SageMaker, PyTorch, TensorFlow, XGBoost
Responsibilities
Define end-to-end ML architectures; Establish engineering standards and operational excellence; Implement feature stores and Lakehouse architectures; Coach engineers and drive technical direction; Lead validation strategies and performance testing; Establish governance frameworks for model explainability and compliance. (via careerplan.io/jobs/R0123436-senior-lead-machine-learning-engineer-at-lseg)
Seniority
Senior, hands-on IC with technical leadership
