About the Business: LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
About the 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:
This position performs highly complex machine learning research, design, and development assignments across multiple systems or product lines. The role provides technical leadership in the design, implementation, evaluation, and deployment of large-scale machine learning systems and supporting data pipelines. This position contributes direct input to project plans, schedules, development methodologies, and architectural decisions for machine learning solutions. The role collaborates closely with cross-functional stakeholders and translates complex business and product requirements into robust, scalable machine learning architectures. This position mentors less-senior machine learning engineers and drives the adoption of best practices across the team.
Conditions of Employment - Ability to work a Hybrid schedule reporting to Raleigh, NC Office location
Requirements:
6+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering with significant applied ML responsibilities
BS in Computer Science, Engineering, Mathematics, Statistics, or a related field required; MS or PhD or equivalent practical experience preferred
TECHNICAL SKILLS:
Deep expertise in machine learning algorithms and techniques, including supervised, unsupervised, and advanced modeling approaches
Expert proficiency in one or more ML development languages (e.g., Python, Java, Scala)
Extensive hands-on experience with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn)
Proven experience designing and owning end-to-end, production-scale ML systems, including data ingestion, feature platforms, training, evaluation, deployment, and monitoring
Strong understanding of data modeling principles and experience working with large-scale structured and unstructured data
Strong proficiency with SQL and experience working with distributed data storage and processing systems
Experience deploying, monitoring, and maintaining ML models in complex production environments
Strong knowledge of software engineering best practices, including system design, testing strategies, CI/CD, and code quality standards
Advanced knowledge of Agile and other development methodologies
Strong research skills with the ability to evaluate, adapt, and operationalize new ML techniques
Ability to diagnose and resolve highly complex issues related to model performance, data quality, system scalability, and reliability
Strong ability to influence technical direction and align ML solutions with business goals
Excellent oral and written communication skills
Responsibilities:
Lead the design and implementation of complex, production-grade machine learning systems across multiple components or services
Own the technical direction and execution of major ML initiatives or features
Collaborate with product, engineering, and data stakeholders to shape ML strategy and translate ambiguous problems into scalable solutions
Provide architectural guidance and review ML system designs and implementations
Establish and promote best practices for ML development, testing, deployment, and monitoring
Debug, optimize, and resolve the most complex ML and system-level issues
Mentor and technically guide junior and mid-level machine learning engineers
Contribute to project planning, estimation, and delivery for ML initiatives
Evaluate and introduce new tools, frameworks, and methodologies to improve ML platform capabilities
Ensure ML solutions meet performance, reliability, and quality standards in production
Operate effectively across development environments and drive cross-team collaboration
Keep abreast of industry trends and emerging technologies in machine learning and applied AI
All other duties as assigned
Work in a way that works for you: We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
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. Click here (https://www.relx.com/careers/join-us/benefits) 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.
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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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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
