Machine Learning Engineer Lead

LexisNexis Risk Solutions; Raleigh (NC); On-site; USD 115,000 - 192,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Disability accommodation support

Job summary

LexisNexis Legal & Professional is seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures for next-generation legal research products. You will lead a team of 4–5 ML engineers, set platform direction, and ensure enterprise-grade scalability and responsible AI compliance.

The role combines deep ML expertise with distributed systems engineering, and requires hands-on leadership to guide product-wide ML initiatives across global

Qualifications

• 8–10 years of ML/Software Engineer experience.
• 2–3 years of people management experience.
• Master's degree or Bachelor's in computer science.
• Strong software engineering background for large-scale unstructured data.
• Experience deploying ML to production.

Responsibilities

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Architect distributed ML systems serving multiple global products.
• Define engineering best practices for ML design, testing, and deployment.
• Establish CI/CD standards for ML lifecycle management.
• Ensure compliance with enterprise data governance and responsible AI standards.

Skills

Machine Learning

Software Engineering

People management

Leadership

Distributed systems

Education

Master's/Bachelor's in CS

Tools

Python

LLM serving

CI/CD

Retrieval systems

Cloud platforms

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 Machine Learning Engineer Lead 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. In this role you will be a hands-on engineer and leader that will lead a high-performing team of 4-5 ML engineers, drive platform-level decisions, and ensure enterprise-grade scalability, reliability, and responsible AI compliance.

Responsibilities

• Lead, mentor, and grow a team of 4-5 ML engineers.
• 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

• 8-10 years of Machine Learning/Software Engineer experience.
• 2-3 years of people management 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.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

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

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.

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.

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LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.

We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.

Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.