Jobs at RELX

• Prospecting for new business sales through a high volume of cold calling and follow up in assigned territory
• Learning, understanding and demonstrating our world class products to prospects

• Lead Ops / SRE teams to build / maintain “Infrastructures as Code”, software services (PaaS and SaaS), security policies and continuous integration / deployment processes
• Remove technical debt, deliver security hardening, and drive continued optimization of cloud based environments

• Act as the technical lead and primary escalation point for ServiceNow developers.
• Provide hands-on guidance in development, including:

Business Rules
Script Includes
Client Scripts
Flow Designer
UI Actions
Service Portal components
Scoped Applications
APIs

• Provide architectural direction and code-level guidance.
• Establish engineering best practices for ML system design, testing, and deployment.

• Leading the development of advanced AI and machine learning models to solve complex business problems
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Provide architectural direction and code-level guidance.

• Architect and implement scalable ML/LLM systems in production.
• Build and deploy LLM applications, including RAG pipelines and agentic systems.

• RELX, Inc. d/b/a LexisNexis USA
• Software Engineer III

• Helping improve the resilience and readiness of security protection and mitigation technologies and processes which ensure the confidentiality, integrity, and availability of the organization’s assets, information, data, and IT services in an efficient manner.
• Developing and execute security incident response plans, conduct cyber forensic investigations ...

• Design & Build Distributed Services

Implementing resilient, observable microservices and integration components (Java preferred; Node.js/JavaScript where appropriate).
Applying patterns for scaling, fault tolerance, idempotency, and backpressure in distributed environments.

• Implementing resilient, observable microservices and integration components (Java preferred; No...

• Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI).
• Maintain and version model registries and artifact stores to ensure reproducibility and governance.

• Experience: 10+ years of experience in Data and Scoring Engineering, data management, and data strategy, with a strong technical background and demonstrated expertise in quality control processes and practices.
• Management: 2+ years’ management experience.