Associate Principal Scientist, AI and Computational Tools, Oncology R&D Contract: 1-year fixed-term contract Location: Cambridge, UK. Introduction to the Role: At AstraZeneca, we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big
Job Overview: We are building a unified developer experience that helps machine learning engineers move from a trained model to an optimized, validated and deployable artifact on Arm-based systems. Our AI tooling will bring together model
Specific Skills and Experience Required We’re looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such
Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? About Healx Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000
Sr Staff AI Software Development Engineer Job Description Senior Staff AI Software Engineer About the Role: We are seeking an experienced technical leader who can drive our AI Recommender System engineering function. This individual should bring
About the role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and sell-side banks. As
About the role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and sell-side banks. As
About the role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and sell-side banks. As
Specific Skills and Experience RequiredWe’re looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as
NVIDIAs invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing
Job Description SummaryThe Associate Dir, Search & Eval (Platforms & AI) is responsible for identifying, evaluating, and prioritizing external AI-enabled technologies, platforms, datasets, models, and companies that can accelerate innovation across Novartis Biomedical Research and Development.
Job Description SummaryLocation: Cambridge or BaselOnsite Relocation is offered for this role. #LI-Onsite The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data
Theia Insights in the United Kingdom is seeking a data/ML engineer to build and operate production pipelines for global equity classification and knowledge graph work. You’ll run large-scale NLP/LLM inference, ingest market data, and shape schemas and data
About the role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and sell-side banks. What
About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and
About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and