relevant healthcare datasets, such as EHR, or insurance claims. Knowledge of Immunology. Preferred Advanced degree (e.g., MS, or equivalent) Experience delivering on data science projects using predictive technologies, data mining and/or textmining Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming More ❯
SME partners as well as to grow technical research areas of interest to you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will … customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities … of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine More ❯
Chelmsford, England, United Kingdom Hybrid / WFH Options
Anson McCade
with 4+ years’ postdoc or commercial research experience • Track record of leading R&D teams (5+ developers) and delivering to defence or government customers • Deep understanding of knowledge graphs, textmining, NLP, and/or graph neural networks • Strong Python development skills and proficiency with ML frameworks (PyTorch, TensorFlow) • Proven experience applying ML to real-world problems and More ❯
development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (textmining, entity linking, information extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases More ❯