RELX · 2 days ago
Senior Machine Learning Engineer II
RELX is a global provider of information-based analytics and decision tools for professional and business customers. The Senior Machine Learning Engineer II will perform highly complex machine learning research and development, providing technical leadership in the design and deployment of large-scale machine learning systems while mentoring less-senior engineers.
Enterprise SoftwareConsultingBig DataProperty & Casualty InsuranceInformation TechnologyAnalyticsBusiness Information SystemsInformation ServicesInsuranceRisk Management
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
Qualification
Required
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
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
Preferred
MS or PhD or equivalent practical 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.
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
Recent News
The Express Tribune
2026-02-07
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