Research Scientist £70000 GBP 10% Hybrid WORKING Location: United Kingdom (East of England) Type: Permanent Research Scientist - Knowledge & Semantics Location: Cheltenham (Hybrid - 2 days per week on-site) Job-Type: Permanent Salary: Up to £70,000 Bonus Eligible candidates must hold sole British citizenship and be eligible for UK SC Clearance We're working with a world-class defence technology powerhouse that's rapidly expanding its footprint in AI, graph learning, and semantic reasoning-and they're looking for a hands-on research scientist to lead their Knowledge & Semantics team. This is a rare opportunity to work at the bleeding edge of applied AI with a team of researchers solving problems in NLP, knowledge graphs, graph ML, and LLM applications-all with real-world impact in national security and defence. If you're excited about predictive graph learning, symbolic AI, and leading innovative R&D in close partnership with academia, this could be the career-defining role you've been waiting for. Key Responsibilities Lead and deliver cutting-edge R&D across NLP, graph ML, and semantic reasoning Drive proposal writing and secure funding for innovative research in the defence space Collaborate with other AI and ML teams across BAE's national innovation programmes Develop prototypes, present research outcomes, and contribute to cross-functional client delivery Act as technical lead across internal and customer-facing research projects Key Skills & Expertise PhD in AI/ML-related discipline 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, text mining, 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 securing R&D funding (e.g. Dstl, EPSRC) Excellent communication skills with ability to engage technical and non-technical stakeholders Desirable Skills Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), Neo4j, or Cypher Familiarity with knowledge representation, ontology design, or neuro-symbolic AI Prior delivery of LLM-based research projects or integration into operational systems The Package Up to £70,000 base salary 10% company bonus Enhanced pension scheme - up to 10% matched 25 days annual leave flexible options Private medical, dental, and life insurance Career-defining research and IP generation opportunities If this sounds like you, apply below or reach out to Declan Bryson at Anson McCade on 07529 161950 quoting the reference: Research Scientist AMC/DB/KG/85 Research Scientist Reference: AMC/DB/KG/85 debr