RELX · 5 hours ago
Senior Machine Learning Engineer I
Raleigh, NC
Full-time
Hybrid
Mid, Senior Level
$105K/yr - $175K/yr
4+ years expRELX Inc. is a global provider of information-based analytics and decision tools for professional and business customers. The Senior Machine Learning Engineer I will perform advanced machine learning research, design, and development, contributing to technical design decisions and collaborating with cross-functional teams to develop scalable machine learning solutions.
AnalyticsBusiness Information SystemsConsultingInformation ServicesInformation TechnologyInsuranceRisk Management
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
Qualification
Required
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
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
Preferred
MS or equivalent experience preferred
Benefits
Annual incentive bonus
Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
Company
RELX
RELX is a provider of information-based analytics for professional and business customs.
1001-5000 employees
H1B Sponsorship
RELX 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 (221)
2024 (187)
2023 (39)
2022 (30)
2021 (48)
Funding
Current Stage
Public CompanyTotal Funding
unknown1994-10-14IPO
Leadership Team
Asim Fareeduddin
Head of Internal Audit & Assurance
Aurobindo Sundaram
CISO (Head of Information Assurance & Data Protection)
Recent News
The Express Tribune
2026-02-07
Company data provided by crunchbase