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Principal Machine Learning Engineer I *** Hybrid in Raleigh, NC
RELX INC
๐
Raleigh, United States
Location
Raleigh
Posted
June 17, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (https://www.relx.com/) , a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from todayโs top model creators for each individual legal use case.
โAccountabilities
Architect, develop, and advise on end-to-end AI solutions โ leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure โ while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.
...
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (https://www.relx.com/) , a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from todayโs top model creators for each individual legal use case.
โAccountabilities
Architect, develop, and advise on end-to-end AI solutions โ leveraging LLMs, RAG, agentic systems, and cloud-scale infrastructure โ while guiding teams on best practices, ensuring production readiness, and aligning AI system design with business and technical goals.
...