Amass Technology
Amass Technology's client is looking for a Graph Engineer/Data Ontology Specialist on a contract basis to start ASAP. See details below: All applicants must be UK based. Key Responsibilities Design, optimise, and query graph databases (particularly Amazon Neptune). Develop and manage ontologies and robust knowledge representation frameworks. Integrate LLMs (Claude 3.7 or above, GPT, etc.) for content analysis, entity extraction, and semantic enrichment. Implement Retrieval Augmented Generation (RAG) and LLM-based fact extraction ([Subject, Verb, Object] triples). Build LLM-assisted QA pipelines for relationship validation and data consistency. Fine-tune and customise models for domain-specific applications. Apply graph algorithms, graph neural networks, and reasoning within Neptune and knowledge graph environments. Develop vector-based similarity search using embeddings and similarity algorithms. Apply traditional NLP methods (NER, POS tagging, syntactic parsing) alongside LLMs. Use clustering, classification, anomaly detection, and time-series analysis for content analysis and quality assurance. Deploy and scale ML models in production environments using AWS AI/ML services (eg, SageMaker). Build and optimise ETL pipelines and data workflows for large, complex datasets. Work with RDF, SPARQL, and semantic web technologies for structured data management. Required Skills & Expertise Graph engineering with Amazon Neptune and knowledge graph frameworks. Ontology engineering and semantic data modelling. LLM integration, fine-tuning, and RAG pipeline implementation. Advanced NLP and information retrieval methods. Experience with graph-based AI techniques (algorithms, GNNs, reasoning). Strong MLOps skills in performance evaluation and pipeline automation. Proficiency in AWS ML ecosystem (SageMaker, AI/ML services). Experience in ETL/data pipelines, semantic web standards (RDF, SPARQL). This is an excellent opportunity to work with some of the latest technologies on a really interesting project If you have the right experience and are looking for a new role, please send in your CV.
Amass Technology's client is looking for a Graph Engineer/Data Ontology Specialist on a contract basis to start ASAP. See details below: All applicants must be UK based. Key Responsibilities Design, optimise, and query graph databases (particularly Amazon Neptune). Develop and manage ontologies and robust knowledge representation frameworks. Integrate LLMs (Claude 3.7 or above, GPT, etc.) for content analysis, entity extraction, and semantic enrichment. Implement Retrieval Augmented Generation (RAG) and LLM-based fact extraction ([Subject, Verb, Object] triples). Build LLM-assisted QA pipelines for relationship validation and data consistency. Fine-tune and customise models for domain-specific applications. Apply graph algorithms, graph neural networks, and reasoning within Neptune and knowledge graph environments. Develop vector-based similarity search using embeddings and similarity algorithms. Apply traditional NLP methods (NER, POS tagging, syntactic parsing) alongside LLMs. Use clustering, classification, anomaly detection, and time-series analysis for content analysis and quality assurance. Deploy and scale ML models in production environments using AWS AI/ML services (eg, SageMaker). Build and optimise ETL pipelines and data workflows for large, complex datasets. Work with RDF, SPARQL, and semantic web technologies for structured data management. Required Skills & Expertise Graph engineering with Amazon Neptune and knowledge graph frameworks. Ontology engineering and semantic data modelling. LLM integration, fine-tuning, and RAG pipeline implementation. Advanced NLP and information retrieval methods. Experience with graph-based AI techniques (algorithms, GNNs, reasoning). Strong MLOps skills in performance evaluation and pipeline automation. Proficiency in AWS ML ecosystem (SageMaker, AI/ML services). Experience in ETL/data pipelines, semantic web standards (RDF, SPARQL). This is an excellent opportunity to work with some of the latest technologies on a really interesting project If you have the right experience and are looking for a new role, please send in your CV.