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About the Role

Design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. Work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. Collaborate across teams to turn complex challenges into practical, production-ready solutions.

Responsibilities

• Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
• Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
• Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.
• Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
• Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
• Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
• Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.

Requirements

• Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
• Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.
• Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
• Strong Python skills and solid machine learning fundamentals.
• Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
• Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
• Familiarity with cloud platforms and modern software engineering practices.
• Strong communication, collaboration, and mentoring skills.

Skills

• AI
• Machine Learning
• NLP
• Generative AI
• LLMs
• Retrieval-Augmented Generation (RAG)
• Python
• Information Retrieval
• Prompt Engineering
• Responsible AI
• Semantic Search
• Vector Search
• Hybrid Search

Work Type

• Flexible hours

Experience Level

• Senior

Benefits

• Wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Country specific benefits

About the Company

• A global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Combines quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
• Harnesses innovative technologies to support science and healthcare to partner for a better world.
• Elsevier is a global leader in advanced information and decision support for science and healthcare.
• Believes that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.
• Supports continuous discovery and upholds the highest standards of content integrity, reliability, and reproducibility.
• Combines high-quality content with powerful analytics to transform complexity into clarity and deliver mission-critical insights.
• Delivers insights that help research institutions, governments, and funders achieve their goals.
• Helps researchers discover and share knowledge, collaborate, and accelerate innovation.
• Helps librarians provide verified, quality information to universities.
• Helps innovators turn knowledge into new products.
• Helps health professionals improve patient care and educators train the next generation of doctors and nurses.
• With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.
• Elsevier is part of RELX Group.

Equal Opportunity

• Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.