Principal Machine Learning Engineer I

RELX Inc. Company; North Carolina; On-site; USD 136,000 - 253,000; Full time

Job summary

RELX Inc. is seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures for next-generation legal research and analytics products.

You will work on LLM infrastructure, retrieval-augmented generation pipelines, and autonomous agent frameworks serving global data. The role emphasizes distributed systems engineering, enterprise-grade AI, and governance aligned with Responsible AI principles.

Qualifications

• 10+ years of Machine Learning/Software Engineer experience.
• Master’s degree or bachelor’s degree, computer science highly desirable.
• Strong software engineering background with system design and AI feature/product architecture for large user bases and unstructured data.
• Experience with ML deployment to production.

Responsibilities

• Provide architectural direction and code-level guidance for ML systems.
• Establish engineering best practices for ML system design, testing, and deployment.

Skills

Machine Learning

Software Engineering

System Design

Production ML Deployment

Education

Master's/Bachelor's in CS

Tools

LLM Infrastructure

RAG Pipelines

Agent Frameworks

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 (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 today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role Do you love collaborating with teams to solve complex technical problems? We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development. You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks designed for complex large unstructured data.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

USA Job Seekers: EEO Know Your Rights.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Responsibilities

• Provide architectural direction and code-level guidance.
• Establish engineering best practices for ML system design, testing, and deployment.
• Conduct design reviews, performance reviews, and technical roadmap planning.
• Architect distributed ML systems serving multiple global products.
• Standardize infrastructure patterns for LLM serving and retrieval systems.
• Define and implement enterprise-ready agentic frameworks.
• Architect multi-step reasoning systems.
• Lead decisions on deterministic workflows vs. autonomous agents.
• Implement guardrails, safety layers, and traceability mechanisms.
• Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
• Establish CI/CD standards for ML lifecycle management.
• Ensure compliance with enterprise data governance and responsible AI standards.

Requirements

• 10 + years of Machine Learning/Software Engineer experience
• Master’s degree or bachelor's degree, computer science degree is highly desirable.
• Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data
• Experience with ML deployment to production