Jobs at Elsevier

Design, build, and maintain scalable batch and ELT/ETL data pipelines and services. Develop and operate Spark and Airflow workflows, apply software engineering practices, contribute to AWS-based systems, monitor and automate production, collaborate with product and data science teams, and mentor other engineers.

Lead product discovery and delivery for internal data platform capabilities. Gather feedback from engineers and data scientists, translate needs into requirements, prioritize backlog, partner with engineering to deliver scalable solutions, improve data access while balancing privacy and security, track adoption and outcomes, and support migration from legacy workflows.

The Senior Systems Engineer will design and support Microsoft 365 and Power Platform solutions, focusing on improving collaboration technologies and driving technical improvements across the M365 ecosystem.

Lead global clinical content strategy and oversee publishing programs for medical reference books and digital products. Drive content roadmap, financial performance, localization, platform integration, and cross-functional stakeholder partnerships while tracking performance metrics and mentoring team members.

The Sales Training Specialist II role involves project management and design of sales training programs, coaching sales staff, and utilizing learning technologies to enhance sales effectiveness.

As a UX Designer I, you'll create user experiences for digital products, collaborate with teams, and utilize design tools and methods to enhance usability.

The Principal Engineer will guide technical direction, modernize systems, improve reliability, and coach teams in AI and engineering practices.

Collaborate with teams to design, develop, and deploy applications for scientific research. Enhance delivery processes and implement Agile practices.

Lead analytics and evaluation for search and retrieval systems: define measurement strategies, run experiments, analyze ranking and user behavior, build dashboards, ensure data quality, and partner with product, data science, and engineering to improve relevance and retrieval performance.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

Technical lead for a cross-functional squad: design and implement complex features, set technical direction, establish CI/CD and quality strategy, drive observability and reliability, mentor engineers, and coordinate dependencies to deliver secure, scalable production software.

Design, build, deploy, and support secure, scalable production software and AWS infrastructure. Implement CI/CD with GitHub Actions, monitoring and alerting, and maintain engineering standards. Work in a cross-functional Agile team, mentor colleagues, and improve processes to ensure stable, repeatable releases.

The Senior Business Analyst will collaborate with business units to document processes, gather requirements, recommend improvements, and foster relationships with stakeholders.

Design and implement scalable graph-based search services and APIs. Build backend systems using Java and Spring Boot, integrate AWS services and databases, ensure observability with New Relic and Coralogix, and champion clean code and engineering best practices while collaborating across product and engineering teams.

Build, test, and ship LLM-powered, agentic AI solutions (RAG, tool-augmented agents) into enterprise workflows. Implement retrieval pipelines, observability, guardrails, CI/CD, and instrumentation; collaborate with stakeholders and deliver reusable patterns and handovers.

The GenAI Tooling Engineer will support and scale GenAI-powered developer tools, configure platforms, assist developers, and improve user experience.

Build and maintain scalable graph-based search services using Java and Spring Boot. Design GraphQL and REST APIs, integrate with databases and AWS services, ensure monitoring and reliability, mentor engineers, and collaborate with product teams to deliver advanced search and recommendation features.

Lead end-to-end change management for complex, technology-enabled programmes. Shape change strategies, assess impacts, engage stakeholders and sponsors, design communications and enablement, measure readiness and adoption, advise smaller initiatives, and help develop change standards and AI-enabled approaches to improve delivery.

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

The Data Architect will design and evolve the data architecture for Elsevier's submissions platform, facilitating modern data practices and AI workflows.