Machine Learning Engineer

About The Company

LexisNexis Legal & Professional is a global leader providing legal, regulatory, and business information and analytics. Serving clients across more than 150 countries, the company employs over 11,800 professionals dedicated to transforming the legal industry through innovative technology solutions. As part of RELX, a multinational information analytics and decision-making provider, LexisNexis leverages cutting-edge AI and advanced data science to develop powerful, ethical, and responsible solutions that enhance productivity and decision-making in legal practices worldwide. With a strong emphasis on responsible AI principles, the company employs a dedicated team of over 2,000 technologists, data scientists, and legal experts committed to deploying innovative tools that meet the highest standards of ethics and reliability.

About The Role

Are you passionate about developing scalable AI systems and leading high-performing teams to solve complex technical challenges? LexisNexis is seeking a Machine Learning Engineer Lead to spearhead the design, development, and deployment of next-generation AI-driven legal research and analytics products. This role combines advanced expertise in machine learning with distributed systems engineering, focusing on building robust, scalable AI platforms that support multiple global products. As a hands-on leader, you will guide a team of 4-5 ML engineers, influence platform architecture decisions, and ensure the delivery of enterprise-grade solutions that adhere to responsible AI standards. Your work will directly impact how legal professionals access and utilize critical information, transforming the legal landscape through innovative AI solutions.

Qualifications

The ideal candidate will possess 8-10 years of experience in machine learning and software engineering, with a proven track record of deploying AI models into production environments. A minimum of 2-3 years of experience managing teams is required, demonstrating strong leadership and mentorship capabilities. A master's degree or bachelor’s degree in computer science or related fields is highly desirable, emphasizing a solid foundation in software development, system architecture, and AI technologies. Candidates should have extensive experience in designing large-scale systems that process vast amounts of unstructured data, along with proficiency in deploying machine learning models at scale. Familiarity with enterprise data governance, responsible AI practices, and CI/CD pipelines is essential for success in this role.

Responsibilities

• Lead, mentor, and develop a team of 4-5 machine learning engineers, fostering a collaborative and innovative environment.
• Provide architectural guidance and code-level mentorship to ensure high-quality, scalable, and reliable AI systems.
• Establish best practices for the design, testing, and deployment of machine learning models and systems.
• Conduct design reviews, performance evaluations, and contribute to technical roadmap planning to align with business goals.
• Design and architect distributed machine learning systems that support multiple global products and user bases.
• Standardize infrastructure patterns for large language model (LLM) serving and retrieval systems to ensure consistency and efficiency.
• Define and implement enterprise-ready agentic frameworks capable of multi-step reasoning and autonomous decision-making.
• Lead architectural decisions regarding deterministic workflows versus autonomous AI agents, balancing safety and performance.
• Implement safety guardrails, traceability mechanisms, and evaluation frameworks to measure reasoning quality, hallucination rates, and system reliability.
• Develop and enforce CI/CD standards for the entire machine learning lifecycle, ensuring continuous integration and deployment.
• Ensure all AI systems comply with enterprise data governance policies and adhere to responsible AI principles, promoting ethical AI use across platforms.

Benefits

LexisNexis offers a comprehensive benefits package tailored to support your well-being and professional growth. Employees are eligible for competitive compensation, including an annual incentive bonus, with a base salary range of $115,400 to $192,300, depending on location and experience. The company provides country-specific benefits designed to promote health, financial security, and work-life balance. Additional perks may include health insurance, retirement plans, paid time off, professional development opportunities, and flexible work arrangements. LexisNexis is committed to fostering an inclusive and supportive workplace environment where all employees can thrive and contribute meaningfully to the company's mission.

Equal Opportunity

LexisNexis is an equal opportunity employer. We are dedicated to creating a diverse and inclusive workplace where all qualified applicants are considered fairly and without regard to race, color, religion, sex, national origin, citizenship status, disability, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing accommodations to applicants with disabilities or other needs during the hiring process. Our goal is to ensure a fair, accessible, and respectful environment for everyone, fostering innovation and excellence through diversity.