We are working with an exciting client at theforefront of innovation in the intelligence operating system space.They are transforming how organizations deliver large-scale changeby addressing the challenges of project complexity, delays, andcost overruns!Role OverviewAs a Research Engineer / ResearchScientist in the Graph Knowledge Base team, you will lead theresearch, development, and optimisation of the companys knowledgegraph infrastructure. Your work will advance our GraphRAGpipelines, semantic understanding techniques, and NLP capabilities,ensuring that enterprises can effortlessly discover, organise, andutilise their data. You’ll enjoy the freedom to experiment withemerging methodologies, collaborate with cross-disciplinary teams,and see your innovations drive measurable improvements in real-timedecision-making.Key ResponsibilitiesInnovate and Shape: Ownend-to-end R&D of advanced knowledge graph systems, setting newstandards for programme intelligence.Deliver Impact: Connecttechnical innovation to tangible results, enhancing how enterprisesretrieve, integrate, and leverage data to inform criticaldecisions.Advance GraphRAG Workflows: Optimise retrieval-augmentedgeneration processes for low-latency, high-accuracy semantic dataintegration.Integrate Unstructured Data: Collaborate with dataengineers and scientists to transform a broad spectrum ofunstructured textual content into a unified, queryable knowledgebase.Stay Ahead of the Curve: Research and implement the latestadvances in knowledge representation, semantic search, andAI-driven retrieval to continuously refine our platform’scapabilities.Safeguard Security and Compliance: Ensure allsolutions adhere to data security, privacy standards, androle-based access controls, maintaining strict compliance withregulations.Validate and Optimise: Conduct thorough testing andvalidation to guarantee accuracy, scalability, and reliability ofknowledge graph systems.Communicate and Collaborate: Presentfindings, prototypes, and technical solutions to stakeholders,embracing feedback and refining outcomes through iterativeimprovement.Expertise and SkillsCore TechnicalCompetencies:Knowledge Graphs & AI-driven KnowledgeRepresentation: Deep understanding of designing, optimising, andintegrating knowledge graphs with advanced AI-based techniques(e.g., vector embeddings, transformer-based models) for semanticretrieval.GraphRAG and AI/ML: Practical experience withRetrieval-Augmented Generation (RAG) and frameworks like LangChainor LangGraph, plus comfort with cutting-edge NLPtechniques.Programming & Prototyping: Advanced proficiency inPython for rapid prototyping, experimentation, andimplementation.Data Infrastructure & Tooling:Database &Graph Databases: Strong theoretical and practical grasp of datastructures, algorithms, and graph databases (e.g., Neo4j, CosmosDB).Cloud Ecosystems: Experience deploying secure, scalable AIsolutions in cloud environments such as Microsoft Azure, AWS, orGCP.Security & Compliance:Standards and Best Practices:Familiarity with data security frameworks and compliance standards,integrating these into R&D workflows.Nice to Have:Deep Learning& Scientific Computing: Experience with frameworks likePyTorch, TensorFlow, or JAX, as well as libraries such as NumPy orSciPy, to support advanced experimentation and modelfine-tuning.Mindset & Approach:Innovative and Inquisitive: Apassion for pushing boundaries, independently exploring new ideas,and staying at the forefront of AI and programmeintelligence.Ownership and Accountability: Proven track record oftaking projects from concept to successful implementation, thrivingin dynamic, evolving environments.Collaboration and Communication:Comfortable working closely with data engineers, data scientists,and domain experts, contributing to a culture of shared learningand continuous improvement.What Success Looks LikeSuccess in thisrole will be measured by notable improvements in data retrievalspeed, insight accuracy, user satisfaction metrics, and overallplatform stability. Your innovations will directly influence thestrategic direction of the companys AI capabilities, ensuring thatglobal enterprises have the intelligence they need at theirfingertips.What We OfferCompetitive salaryBonus schemeWellnessallowanceFully remote working (with regular companyget-togethers)Private medical and dental insuranceLife assurance,critical illness cover, and income protection*Provision andavailability depend on your country of residence – we’ll discussthis with you.
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