We are seeking a Principal Machine Learning Engineer to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform
Job Summary
We are seeking a Principal Machine Learning Engineer to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform.
This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‑grade standards.
LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific.
Matching Summary
We are seeking a Principal Machine Learning Engineer to provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform.
Skills & Requirements
Must-have
AWS SageMaker expertise
MLOps automation and CI/CD
Model governance and explainability
Low-latency inference architectures
Scalable feature pipelines
Enterprise-grade ML governance
Nice-to-have
Feature store adoption experience
Ranking and entity matching background
Multi-account AWS ML platform design
Distributed training knowledge
Key Requirements
Proven track record architecting production ML systems
Expert-level Python and ML frameworks
Advanced experience designing explainability systems