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Knowledge Graph Engineer
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Knowledge Graph Engineer
Location: Remote (UK)
Contract: 6 Months (Likely Extensions)
Rate: Up to £650/day Outside IR35
Fully remote role within the UK.
Please note: Applicants must have the right to work in the UK. Unfortunately, sponsorship is not available for this position.
The Role
We are seeking an experienced Knowledge Graph Engineer to design and deliver enterprise-scale Knowledge Graph solutions for AI-driven applications. You will build production-grade platforms using Neo4j, Graphiti, and GLiNER, ensuring scalability, security, and alignment with enterprise architecture standards.
Key Responsibilities
- Design, develop, test, and deploy enterprise Knowledge Graph solutions.
- Build scalable, secure, and reusable AI platform components.
- Develop Python-based microservices and integrate Azure services, Snowflake, SharePoint, and REST APIs.
- Implement CI/CD pipelines, automated testing, and monitoring.
- Optimise performance, reliability, and operational resilience.
- Collaborate with architects, product owners, and engineering teams.
- Produce technical documentation, participate in code reviews, and support production releases.
- Mentor engineers and promote engineering best practices.
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Required Skills
- 7+ years of software engineering experience.
- Strong Python development skills.
- Hands-on experience with Neo4j, Knowledge Graphs, Graphiti, and GLiNER.
- Experience delivering production solutions on Microsoft Azure.
- Microservices architecture and REST API integration.
- Docker, Kubernetes, Git, Azure DevOps, and CI/CD.
- Experience with LLMs, Embeddings, and Hybrid Search.
- Excellent communication and technical documentation skills.
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Desirable Skills
- Healthcare, Pharmaceutical, or Life Sciences experience.
- Azure Document Intelligence.
- Unstructured.io.
- Graphiti Entity Resolution.
- Hybrid BM25 + Vector Search.
- Cross-Encoder Reranking.
- Multi-tenant SaaS platforms.
- Architecture governance.
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