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About the Role

Design and build advanced AI systems that accelerate scientific discovery and improve how knowledge is understood and used, working with cutting-edge machine learning, NLP, and generative AI technologies to solve complex, real-world challenges at global scale.

Responsibilities

• Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, and intelligent content understanding
• Work with large-scale datasets including scientific publications, research data, knowledge graphs, and metadata
• Apply a range of approaches from classical ML methods to deep learning, embeddings, and LLM-based solutions
• Develop capabilities such as semantic search, information retrieval, entity extraction, classification, and summarization
• Build, evaluate, and improve models that support decision-making and accelerate research outcomes
• Train, fine-tune, prompt, and integrate models into production-ready systems
• Build and maintain scalable data pipelines for experimentation, inference, and monitoring
• Collaborate with cross-functional teams to translate complex challenges into robust technical solutions

Requirements

• Background in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related field
• Strong Python skills with a focus on clean, maintainable, well-tested code
• Solid understanding of machine learning fundamentals, including model evaluation and performance measurement
• Experience working with structured, semi-structured, or unstructured data, especially large-scale text datasets
• Familiarity with tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib
• Ability to translate complex problems into practical, data-driven solutions
• Strong analytical thinking and problem-solving skills with attention to quality
• Clear communication skills and a collaborative approach to working with diverse stakeholders

Skills

• Machine Learning
• NLP
• Generative AI
• Python
• Pandas
• NumPy
• SciPy
• Scikit-learn
• PyTorch
• TensorFlow
• Matplotlib
• Semantic Search
• Information Retrieval
• Entity Extraction
• Classification
• Summarization

Location

• Amsterdam (Radarweg), NLD

Work Type

• Flexible working hours

Salary/Compensations

• €49,000 - €81,700

Benefits

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

About the Company

• Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity.
• We serve the research, academic, and clinical communities through the application of technology and analytics to content.
• Our portfolio of solutions brings together extensive Scientific, Technical and Medical content, powerful analytics, and technologies.
• We help our corporate customers, R&D professionals, engineers, scientists, and commercial marketing leaders, to innovate and commercialize ideas, products, and processes.
• A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Building on our publishing heritage, we combine 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.
• At Elsevier, your work contributes to the world's grand challenges and a more sustainable future.
• We harness 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.
• We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.
• We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.
• By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.
• We deliver insights that help research institutions, governments, and funders achieve their goals.
• We help researchers discover and share knowledge, collaborate, and accelerate innovation.
• We help librarians provide verified, quality information to universities.
• We help innovators turn knowledge into new products.
• We help health professionals improve patient care and educators train the next generation of doctors and nurses.
• Connecting quality content and innovative technologies, we make progress go further and happen faster.
• And by championing inclusion and sustainability, we ensure progress benefits all.
• 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.
• We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.
• If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.
• Elsevier is part of RELX Group.
• Let’s shape progress together.
• Join us.

Equal Opportunity

• We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
• Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
• Please read our Candidate Privacy Policy.
• We are an equal opportunity employer: 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.
• USA Job Seekers: EEO Know Your Rights.