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Data Modeller (AI) - Contract

Stealth IT ConsultingUnited Kingdom🇬🇧United KingdomPosted 8 Oct 2026

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Hybrid
Location
United Kingdom
AWSMachine LearningAgileAzureGenerative AIGoogle CloudStakeholder Management

Job Description

Location: Remote/Hybrid (UK)
Duration: 12 Months
Rate: £575 per day (Inside IR35)
Sector: UK Government/Public Sector

Overview

We are seeking an experienced Knowledge Modeller with AI experience to join a major government transformation programme. This role will focus on designing, developing, and maintaining knowledge models, ontologies, semantic data structures, and AI-driven knowledge systems that support data-driven decision making, automation, and intelligent services across public sector environments.

The successful candidate will have a strong background in knowledge representation, semantic technologies, data modelling, and applied AI, alongside experience working within government or highly regulated environments.

Key Responsibilities

  • Design and develop enterprise knowledge models, taxonomies, ontologies, and semantic frameworks.
  • Create structured representations of complex business domains to support AI and machine learning solutions.
  • Work closely with architects, data engineers, data scientists, business analysts, and stakeholders to define knowledge structures.
  • Develop and maintain knowledge graphs and semantic data models.
  • Support the implementation of AI-powered search, reasoning, and decision-support capabilities.
  • Ensure alignment between organisational data models, business processes, and AI solutions.
  • Translate complex stakeholder requirements into scalable knowledge representations.
  • Drive best practice in metadata management, information architecture, and semantic modelling.
  • Contribute to AI governance, explainability, and responsible AI initiatives.
  • Support documentation, standards, and knowledge management processes within the programme.

Essential Skills & Experience

  • Proven experience as a Knowledge Modeller, Ontology Engineer, Semantic Data Modeller, or similar role.
  • Strong understanding of knowledge representation techniques and semantic technologies.
  • Experience building and maintaining ontologies, taxonomies, and knowledge graphs.
  • Hands-on experience supporting AI, machine learning, or generative AI solutions.
  • Knowledge of semantic web standards such as:
    • RDF
    • OWL
    • SKOS
    • SPARQL
  • Experience with knowledge graph platforms and graph databases.
  • Strong data modelling and information architecture skills.
  • Ability to engage effectively with both technical and non-technical stakeholders.
  • Experience working within Agile delivery environments.
  • Previous UK Government or Public Sector experience.

Desirable Skills

  • Experience with Generative AI, LLMs, Retrieval-Augmented Generation (RAG), or AI search solutions.
  • Familiarity with Microsoft Azure AI, AWS AI/ML, or Google Cloud AI services.
  • Knowledge of data governance and information management frameworks.
  • Experience supporting GDS-aligned programmes.
  • Understanding of AI ethics, governance, and explainability.

Candidate Profile

  • Excellent analytical and problem-solving skills.
  • Strong communication and stakeholder management abilities.
  • Capable of working independently in complex delivery environments.
  • Detail-oriented with a passion for organising and structuring information.
  • Comfortable operating across multidisciplinary teams and large-scale transformation programmes.

What's on Offer?

  • 12-month contract on a high-profile government programme.
  • £575 per day Inside IR35.
  • Opportunity to shape AI-enabled services and knowledge capabilities at scale.
  • Collaborative, multi-disciplinary delivery environment.
  • Potential contract extensions beyond the initial term.

Government/Public Sector experience is essential. Candidates with experience delivering knowledge modelling and AI-driven solutions within central government departments, agencies, or large public sector organisations are strongly encouraged to apply.

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