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Senior Machine Learning Engineer II

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-02-13
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
## .Senior Machine Learning Engineer II page is loaded## Senior Machine Learning Engineer II locations:
Raleigh, NCtime type:
Full time posted on:
Posted Yesterday job requisition :
R107738
** About the Business:
** Lexis Nexis 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:
** Lexis Nexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), 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 ().##
*
* 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:

*
* • D
** eep 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, Tensor Flow, 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…
Position Requirements
10+ Years work experience
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