You will design and deliver machine learning and AI systems that help unlock insights from complex scientific data and content. Working with diverse datasets and modern AI techniques, you will create solutions that enable faster discovery, better decision-making, and meaningful impact across research and innovation.,Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, and intelligent content understandingWork with large-scale datasets including scientific publications, research data, knowledge graphs, and metadataApply a range of approaches from classical ML methods to deep learning, embeddings, and LLM-based solutionsDevelop capabilities such as semantic search, information retrieval, entity extraction, classification, and summarizationBuild, evaluate, and improve models that support decision-making and accelerate research outcomesTrain, fine-tune, prompt, and integrate models into production-ready systemsBuild and maintain scalable data pipelines for experimentation, inference, and monitoringCollaborate with cross-functional teams to translate complex challenges into robust technical solutionsBackground in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related fieldStrong Python skills with a focus on clean, maintainable, well-tested codeSolid understanding of machine learning fundamentals, including model evaluation and performance measurementExperience working with structured, semi-structured, or unstructured data, especially large-scale text datasetsFamiliarity with tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or MatplotlibAbility to translate complex problems into practical, data-driven solutionsStrong analytical thinking and problem-solving skills with attention to qualityClear communication skills and a collaborative approach to working with diverse stakeholdersElsevier 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.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 PatternWorking 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.
Senior MLOPs in London employer: Elsevier B.V.
Elsevier B.V. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Oxford. With a strong focus on employee growth, team members are encouraged to develop their skills through continuous learning opportunities while working on cutting-edge technology in an Agile environment. The company offers competitive benefits and a supportive atmosphere, making it an ideal place for those seeking meaningful and rewarding employment.
