LexisNexis Risk Solutions · 2 hours ago
Machine Learning Engineer III
Raleigh, NC
Full-time
Hybrid
Entry, Mid Level
$95K/yr - $159K/yr
1+ years expLexisNexis Risk Solutions is part of RELX, a global provider of information-based analytics and decision tools. The role involves performing software development and applied machine learning assignments, contributing to the design and deployment of machine learning models and collaborating with cross-functional teams to deliver effective ML solutions.
AnalyticsHealth CareInformation TechnologyInsurTechRisk ManagementSoftware
Responsibilities
Collaborate with software engineers, data engineers, and product stakeholders to understand requirements and contribute to ML solutions
Implement machine learning models, data preprocessing pipelines, and evaluation workflows under established designs
Write and maintain clean, well-tested, and well-documented code following team standards
Assist in debugging, tuning, and improving model performance and data quality issues
Participate in code reviews and apply feedback to improve code quality and ML practices
Operate within established development environments and processes (e.g., Agile)
Support the integration of ML components into production systems
Contribute to experimentation, analysis, and reporting of model results
Keep abreast of new machine learning techniques, tools, and industry developments
Follow best practices for reproducibility, testing, and responsible ML development
Seek guidance from senior team members and proactively develop technical skills
All other duties as assigned
Qualification
Required
1 - 3+ years experience in Machine Learning Engineering, Data Science, or Software Engineering with a strong ML focus
BS in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience
Working knowledge of machine learning fundamentals, including supervised and unsupervised learning techniques
Proficiency in at least one programming language commonly used in ML development (e.g., Python, Java, or Scala)
Experience with common ML libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Familiarity with data manipulation, feature engineering, and data validation techniques
Basic understanding of data modeling concepts and data storage systems (e.g., relational databases, data lakes)
Experience working with SQL and/or other data query languages
Familiarity with software development methodologies such as Agile
Understanding of ML model evaluation, experimentation, and performance metrics
Exposure to ML lifecycle practices including model training, testing, versioning, and deployment
Ability to read, understand, and contribute to technical design documents
Ability to debug and resolve moderately complex issues in ML pipelines or model behavior
Good oral and written communication skills
Willingness to learn new tools, technologies, and ML best practices
Benefits
Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
Company
LexisNexis Risk Solutions
LexisNexis Risk Solutions provides information to assist customers in industry and government in assessing, predicting, and managing risk. It is a sub-organization of ChoicePoint.
10001+ employees
H1B Sponsorship
LexisNexis Risk Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (129)
2024 (132)
2023 (86)
2022 (98)
2021 (125)
2020 (53)
Funding
Current Stage
Late StageLeadership Team
Bill Madison
CEO - Insurance Solutions
Mark Kelsey
Chief Executive Officer, LexisNexis Risk Solutions
Recent News
2026-02-03
2026-02-03
2026-01-22
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