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.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
About the Business
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.
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- We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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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.
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