Machine Learning Engineer Lead

About the Team

LexisNexis Legal & Professional serves customers in over 150 countries with 11,800 employees globally. It is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. LexisNexis focuses on deploying AI and advanced technologies in the legal market to enhance productivity and transform legal practices.

About the Role

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures supporting next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.

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 in computer science, highly desirable.
• Strong software engineering background with experience in building system design, architecting AI features/products catering to large user bases and handling large volumes of unstructured data.
• Experience with ML deployment to production.

Pay

The U.S. base pay range for this role is $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

Benefits

We offer country-specific benefits. Click here to access benefits specific to your location.

Equal Opportunity Employer

We are committed to providing a fair and accessible hiring process and are an equal opportunity employer. Qualified candidates 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.

Criminal Background Check

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Application Instructions

Please read our Candidate Privacy Policy.

Learn More

To find out more about this opportunity, visit our partner site: hackajob.