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 advanced machine learning research, design, and development assignments within a defined functional area or product line. The role is responsible for designing, implementing, training, evaluating, and deploying machine learning models and supporting data pipelines in production environments. This position contributes directly to technical design decisions, development methodologies, and project execution, and collaborates with cross-functional teams to translate business and product requirements into scalable machine learning solutions. The role may provide technical guidance to less-experienced machine learning engineers and actively contribute to improving team ML practices.
Conditions of Employment - Ability to work a Hybrid schedule reporting to Raleigh, NC Office location
Requirements:
4+ years of experience in Machine Learning Engineering, Data Science, or Software Engineering with significant ML responsibilities
BS in Computer Science, Engineering, Mathematics, Statistics, or a related field required; MS or equivalent experience preferred
TECHNICAL SKILLS:
Strong knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, model evaluation, and optimization
Strong proficiency in one or more ML development languages (e.g., Python, Java, Scala)
Hands-on experience with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn)
Experience designing and maintaining end-to-end ML pipelines, including data ingestion, feature engineering, training, validation, and deployment
Solid understanding of data modeling principles and experience working with structured and unstructured data
Strong proficiency with SQL and experience working with large-scale data storage systems
Experience deploying and monitoring ML models in production environments
Familiarity with software development best practices, including code reviews, testing, and CI/CD
Working knowledge of Agile development methodologies
Ability to research, evaluate, and apply new machine learning techniques and tools
Ability to diagnose and resolve complex issues related to model performance, data quality, and system integration
Strong oral and written communication skills
Responsibilities:
Design, develop, and maintain production-grade machine learning models and supporting pipelines
Collaborate with product managers, software engineers, and data engineers to define and refine ML requirements and solutions
Translate complex business problems into well-defined machine learning tasks and system designs
Contribute to technical design documents and review designs for ML components and systems
Implement coding best practices, testing strategies, and code reviews for ML development
Debug, optimize, and resolve complex issues across the ML lifecycle, including data, models, and deployment
Monitor model performance and support ongoing model improvements and retraining efforts
Provide technical guidance and mentorship to junior machine learning engineers
Stay current with industry trends, tools, and best practices in machine learning and applied AI
Actively contribute to improving team standards, tooling, and development processes
Operate effectively across development environments (e.g., Agile) and collaborate with key stakeholders
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: $104,900 - $174,700. 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.
