High-impact Researcher in AI and Knowledge Engineering
We are expanding our team with a talented Research Engineer to contribute to the development of cutting-edge agent systems.
This is a unique opportunity to apply research to real-world AI applications with meaningful impact across domains such as intelligent assistants, knowledge-based reasoning, and multi-modal semantic search.
This is a permanent opportunity based onsite in Edinburgh, Scotland
Key Responsibilities:
* Design and implement modules for knowledge-augmented agent systems (retrieval, memory modeling, task orchestration)
* Integrate structured and unstructured knowledge from multiple modalities (text, image, video) into agent workflows
* Develop solutions coupling retrieval (KGs, RAG, databases) with planning, reasoning, and execution logic
* Collaborate with engineering teams on LLM platforms, search infrastructure, and agent systems
* Translate research into production-ready applications across AI development tools, QA systems, and assistant use-cases
* Contribute to core algorithm development and support product scaling initiatives
Requirements:
* PhD in NLP, Machine Learning, Knowledge Engineering, or related fields
* 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.)
* 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI)
* Strong coding and software design skills
* Experience working across research and applied development in a collaborative environment
Benefits:
* Ongoing opportunities for growth and professional development
* A collaborative and dynamic work environment
Join Our Team:
Apply today to be part of our high-performing team and contribute to the advancement of AI technology.