Senior Research Scientist Knowledge & Semantics £60,000 - £70,000 GBP Onsite WORKING Location: England, Chelmsford, East of England - United Kingdom Type: Permanent Research Scientist - Knowledge & Semantics AI Research | NLP, Knowledge Graphs, Graph ML, LLMs | National Security & Defence | Hybrid UK Fantastic opportunity for a curious and motivated researcher to join a leading-edge AI team delivering applied research across national security, defence, and public sector innovation programmes. You'll be part of a highly collaborative R&D environment, working alongside specialists in natural language processing (NLP), graph machine learning, and large language models (LLMs). This is an ideal role for someone with a strong academic background who's keen to develop impactful, real-world AI solutions. What's on offer: Competitive salary flexible benefits package Hybrid working model with a UK base Work on meaningful, mission-led research Access to academic, SME and industry partners Ongoing support 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. text mining, 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 framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice to have: Familiarity with tools like PyTorch-Geometric, PyKeen, or Neo4j Experience with SQL, Cypher, or other query languages Exposure to applying AI in public sector or defence domains An interest in collaborating on papers, prototypes or funded R&D proposals You'll join a friendly, intellectually curious team where collaboration is key and learning is continuous. Whether you're coming from academia or already in industry, this is a chance to apply your research in exciting, real-world contexts. Reference: AMC/ZBO/RsKS zabo