Jobs at Elsevier

Lead the vision, roadmap, discovery, and delivery of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, guide cross-functional teams, and measure adoption, usability, customer impact, and business outcomes. Champion responsible AI practices involving quality, privacy, transparency, and trust while using customer feedback and product data to continuously improve products.

Develop and lead strategic brand storytelling and integrated communications campaigns for Cell Press. Create and edit content, manage freelancers and agencies, coordinate web, social, and email channels, define KPIs, analyze campaign performance, and present recommendations to senior stakeholders. The role combines strategic planning, hands-on content development, project management, audience segmentation, stakeholder influence, and data-informed optimization.

Evaluate scientific submissions, develop and shape a multidisciplinary physical science journal, build researcher networks, foster partnerships across editorial and business teams, and support initiatives advancing the research ecosystem. The role requires physical science research expertise, strong communication and networking skills, critical thinking, extensive conference and institute travel, and collaboration with the Editor-in-Chief and related journals.

As a Senior ML Ops Engineer, you will bridge Data Science and Engineering to automate ML workflows, manage CI/CD for ML systems, and collaborate with various teams to implement solutions for AI features and services.

Design, develop, and deploy ML, NLP, and generative-AI solutions (including LLMs and RAG) to improve search, retrieval, recommendation, and question-answering across scientific publications and datasets. Build scalable pipelines, evaluation frameworks, and production-quality Python code while collaborating with engineering, product, UX, and domain experts to measure and improve model reliability, relevance, and user impact.

Leads technical execution for an embedded AI innovation squad, taking prototypes from discovery through production. Designs reusable agentic AI architectures covering orchestration, tool use, memory, retrieval, integrations, security, and governance. Works with stakeholders to define requirements, makes architecture decisions, develops reference implementations, and establishes measurable outcomes. Provides infrastructure and budget recommendations, resolves complex technical issues, manages delivery dependencies, serves as the primary AI and coding expert, and mentors engineers while evaluating emerging technologies.

The Account Manager will drive sales and renewals, manage customer relationships, and support customers with diverse needs while achieving bookings and conducting market evaluations.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.

Lead and develop high-performing data science teams to build AI-powered search, retrieval, NLP, generative AI, and knowledge systems for scientific discovery. Define strategy, drive production deployments, establish evaluation and responsible AI practices, partner with product and engineering, mentor staff, and influence senior stakeholders to deliver measurable impact.