and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP, LLM applications, textmining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world … applications, or open-source contributions) in one or more of the following areas: Graph-based machine learning, including predictive, causal or neuro-symbolic models. NLP techniques, including information extraction, textmining, and entity linking. Experience with transformer-based models is a plus. Application of LLMs to defence or similarly complex problem spaces. Graph-structured data, including graph algorithm More ❯
for personal development and skill-building What you'll bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. textmining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML More ❯
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 ❯
Skills & Experience: PhD qualified with a minimum of 4 years' postdoctoral or commercial research experience Proven leadership of R&D teams (minimum of 5 developers) Strong background in NLP, textmining, knowledge graphs, or graph ML Proficient in Python, with experience using frameworks such as PyTorch or TensorFlow Demonstrated ability to secure and deliver R&D funding Desirable More ❯
for personal development and skill-building What you'll bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. textmining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML More ❯