RELX

HQ
London
Total Offices: 23
10,001 Total Employees
Year Founded: 1880

RELX Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers employee stock purchase plan

Offers employee discounts

Provides family medical leave

Offers generous parental leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Provides a mobile phone discount

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Offers an Employee Assistance Program (EAP)

Recently posted jobs

6 Hours AgoSaved
In-Office
3 Locations
Information Technology • Legal Tech • Analytics
Handle editorial evaluation of submissions, shape the journal's scientific direction, coordinate special issues, build networks to attract submissions, identify manuscripts for transfer, travel to conferences, and collaborate with internal teams to grow the journal.
8 Hours AgoSaved
In-Office or Remote
10 Locations
Information Technology • Legal Tech • Analytics
Support teams in preparing and maintaining AI-ready data by assessing data readiness, improving data quality and metadata, documenting lineage and ownership, and advising on governance and retrieval suitability for AI systems. Collaborate with data engineering, AI, and governance teams to create checklists, guidance, and remediation recommendations without owning pipelines or technical implementations.
8 Hours AgoSaved
Remote
México
Information Technology • Legal Tech • Analytics
Lead end-to-end development of production AI solutions using LLMs, RAG architectures, and agentic workflows. Design scalable architectures, build AI-powered applications, and optimize system performance through evaluation, experimentation, and user feedback. Collaborate with product managers, domain experts, and stakeholders to translate business needs into solutions while contributing directly to software development. Address NLP, information retrieval, search, document processing, and AI quality challenges, including retrieval failures, hallucinations, and model behavior.