Machine Learning Engineer Lead

LexisNexis; Raleigh (NC); On-site; USD 115,400 - 192,300; Full time

Job summary

LexisNexis Risk Solutions, based in Raleigh, NC, is seeking a Machine Learning Engineer Lead. This role involves designing, building, and operating scalable AI/ML systems while leading a team of engineers. The ideal candidate will have 8-10 years of experience in machine learning/software engineering and at least 2-3 years in a management position. Responsibilities include providing architectural guidance and ensuring compliance with AI standards. A competitive salary range from $115,400 to $192,300 along with an annual incentive bonus is offered.

Qualifications

• 8-10 years of Machine Learning/Software Engineer experience.
• 2-3 years of people management experience.
• Strong software engineering background with exposure to large unstructured data.

Responsibilities

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Provide architectural direction and code-level guidance.
• Ensure compliance with enterprise data governance and responsible AI standards.

Skills

Machine Learning

Software Engineering

Team Leadership

Architecting AI Solutions

Infrastructure Patterns

Education

Master’s or Bachelor's degree in Computer Science

Job description

## Machine Learning Engineer LeadApplylocations: Raleigh, NCtime type: Full timeposted on: Posted Yesterdayjob requisition id: R111796**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 productionU.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. Click** **here** **to access benefits specific to your location.**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.**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****.**Please read our Candidate Privacy Policy.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.