Vacancy detail

Senior Research Scientist Knowledge & Semantics

£60,000 - £70,000 GBP

Onsite WORKING

Location: United Kingdom (East of England – England ) 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

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