Principal Machine Learning Engineer

A Principal Machine Learning Engineer at LSEG in Nottingham will oversee the full lifecycle of machine learning systems, focusing on architecture, MLOps maturity, model governance, and explainability. This role involves defining ML architecture, establishing engineering standards, and ensuring models are scalable, secure, and compliant. The candidate will lead the design of data pipelines, model development, deployment automation, and inference services, while mentoring engineers and influencing product decisions. Deep expertise in AWS SageMaker, ML frameworks, and model explainability are essential, alongside strong leadership in ML engineering practices. The role emphasizes automating ML workflows, monitoring model performance, and maintaining security and governance standards. The ideal candidate will have a proven track record of delivering high-quality enterprise ML systems at scale, with a strong focus on innovation and technical excellence.