17 of 17 Permanent Knowledge Representation Jobs in the UK

innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain, making legal knowledge more accessible, navigable, and actionable. Responsibilities: Develop and advance knowledge extraction and representation methods, particularly in: Structured knowledge extraction from legal texts and images Knowledge graphs/ontology engineering Legal knowledge base construction Specialised embedding methods for multimodal content in the legal domain Develop … methods for retrieval and reasoning over legal knowledge bases and systems (e.g., hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Perform fine-tuning and reinforcement learning to teach language models how to interact with new information architectures. Build "hard" eval sets to More ❯

solutions. Develop strategies for the consistent application of semantic modeling and ontology frameworks across different business units. Drive the adoption of best practices in knowledge representation, metadata management, and taxonomy governance. Balance operational stability and adoption of new technologies during implementation, while challenging stakeholders' past assumptions and promote … data, and artificial intelligence to enhance the company's capabilities. You'll need to have: Minimum of 5 years of experience in ontology engineering, knowledge representation, or semantic web technologies. Minimum of 3 years experience successful leading and mentoring teams in a large cross domain environment or through … a transformational organizational change. Expertise in knowledge representation syntax (e.g., OWL, RDF, SKOS), query languages (e.g., SPARQL), and tools (e.g., Protégé, TopBraid, PoolParty). We'd love to see: Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.) Master's or More ❯

Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying … teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning … across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow us to represent structured information and the logical relations that govern it, unlocking the ability to build reinforcement learning More ❯

Applied Scientist, Product Knowledge GenAI Job ID: Services LLC Lead the development of AI models to power Amazon's eCommerce ontology - a key source of product knowledge driving exceptional customer experiences. Applied Scientists in this role solve problems related to product classification, attribute extraction, ontology modeling, data integration … and enrichment, and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research. If you're passionate about driving innovation at scale, we want to hear from you … Key job responsibilities - Lead the research and development of novel AI solutions to enrich and curate Amazon's product ontology (Product Knowledge) at scale - Develop scalable data processing pipelines and architectures to ingest, transform, and enrich product data from various sources (seller listings, customer reviews, etc.) - Collaborate with engineers More ❯

digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications … who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. … addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. More ❯

digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications … who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. … addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. More ❯

digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications … who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. … addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. More ❯

digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications … who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. … Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or More ❯

generative AI into early-stage drug discovery, working closely with cross-functional teams. Stay at the forefront of research in computer vision, deep learning, representation learning, and multi-modal data integration. Present findings through reports, presentations, and scientific publications to internal and external stakeholders. Foster collaborations with academic and … publication record in major CV/ML conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML. Proven expertise in multi-modal data integration and representation learning with a track record of successful applications, preferably in biological or pharmaceutical contexts. Advanced programming skills in Python, with mastery of deep learning … in computational biology. Writing well-tested and documented code, adhering to best practices in software development, particularly in the context of machine learning and representation learning. About the department The Machine Intelligence department at Novo Nordisk is at the forefront of integrating AI and machine learning with biological data More ❯

and lead the development of a cutting-edge agentic AI system for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. … concepts to business stakeholders and influence product strategy. Represent Encompass in thought leadership forums and industry discussions on AI in RegTech and compliance. Skills, Knowledge and Expertise Lets get the technical stuff out the way first, your past experience as an Engineer will include working with: Proven experience in … responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience More ❯

CTO to architect novel approaches that leverage the complementary strengths of these technologies. This involves designing systems where LLMs can effectively communicate with our knowledge graph infrastructure, translating natural language into structured symbolic representations and vice versa. A significant part of your role will focus on extending our platform … s capabilities by developing algorithms and solutions that manage the interaction between different AI paradigms. This includes creating mechanisms for knowledge extraction and transfer between LLMs and symbolic systems. You'll design and implement neurosymbolic architectures that preserve the interpretability advantages of symbolic AI while incorporating the flexibility of … broader innovation around our core platform. You'll explore emerging technologies and methodologies that could enhance Rainbird's capabilities in areas such as automated knowledge acquisition, reasoning transparency, and computational efficiency. This requires staying current with academic research and industry developments to identify opportunities for platform evolution. The role More ❯

and Python programming , with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI … Deployment & Infrastructure: Deploy AI models and applications on Azure , ensuring scalability and reliability. Application Development: Build and maintain interactive AI applications using Streamlit . Knowledge Graphs & Semantic Technologies: Work with Neo4j, RDF, or OWL for knowledge representation and data modeling. CI/CD & MLOps: Implement CI/… tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. Knowledge of Neo4j, RDF, OWL , and semantic data technologies. Experience with CI/CD pipelines and MLOps for AI model deployment. Strong problem-solving and More ❯

and Python programming , with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI … Deployment & Infrastructure: Deploy AI models and applications on Azure , ensuring scalability and reliability. Application Development: Build and maintain interactive AI applications using Streamlit . Knowledge Graphs & Semantic Technologies: Work with Neo4j, RDF, or OWL for knowledge representation and data modeling. CI/CD & MLOps: Implement CI/… tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. Knowledge of Neo4j, RDF, OWL , and semantic data technologies. Experience with CI/CD pipelines and MLOps for AI model deployment. Strong problem-solving and More ❯

Generation Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying … teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Visual Foundation Models: Unlocking Human Engagement and New Consumer Behavior with … of-the-art visual generation techniques and models, such as GANs and diffusion models. Human imagination is critical as the connective tissue between stored knowledge in the brain and vocalization in speech, using media like language, art, and sound to share and receive ideas. Our intelligent agents have a More ❯

and more fun by helping you voice control your world, both at home and on the go. Help make Alexa smarter by joining our Knowledge International Operations team in Cambridge, UK. We use our cultural and linguistic knowledge to localize Alexa's knowledge base so that Alexa … can understand and answer more questions from Alexa customers in all languages. As a member of the team, you will be responsible for translating knowledge content into your language, following a variety of processes using our understanding of systems related to the Alexa knowledge base. We identify and … correct knowledge gaps and share findings to implement scalable solutions across languages. We think from the customer's viewpoint and use our cultural and linguistic expertise to solve questions on how customers might interact with Alexa. If you are a proactive, adaptable, and quality-driven professional who thrives in More ❯

and more fun by helping you voice control your world, both at home and on the go. Help make Alexa smarter by joining our Knowledge International Operations team in Cambridge, UK. We use our cultural and linguistic knowledge to localize Alexa's knowledge base so that Alexa … can understand and answer more questions from Alexa customers in all languages. As a member of the team, you will be responsible for translating knowledge content into your language, following a variety of processes using our understanding of systems related to the Alexa knowledge base. We identify and … correct knowledge gaps and share findings to implement scalable solutions across languages. We think from the customer's viewpoint and use our cultural and linguistic expertise to solve questions on how customers might interact with Alexa. If you are a proactive, adaptable, and quality-driven professional who thrives in More ❯

and more fun by helping you voice control your world, both at home and on the go. Help make Alexa smarter by joining our Knowledge International Operations team in Cambridge, UK. We use our cultural and linguistic knowledge to localize Alexa's knowledge base so that Alexa … can understand and answer more questions from Alexa customers in all languages. As a member of the team, you will be responsible for translating knowledge content into your language, following a variety of processes using our understanding of systems related to the Alexa knowledge base. We identify and … correct knowledge gaps and share findings to implement scalable solutions across languages. We think from the customer's viewpoint and use our cultural and linguistic expertise to solve questions on how customers might interact with Alexa. If you are a proactive, adaptable, and quality-driven professional who thrives in More ❯