Graph Engineer/Data Ontology Specialist

  • Amass Technology
  • Oct 01, 2025
Contractor Telecommunications

Job Description

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.