Ontologist

Focus Cloud
Southend-on-Sea
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Knowledge Graphs & Ontologies

Data Scientist

Data Scientist

Graph Data Scientist: Ontology & Neo4j Specialist

Graduate Data Scientist

Data Scientist: Graph Database & Ontology Specialist

Position: Ontologist 
Location:Hybrid 
Employment: Contract
Duration: 6 months with potential extension
Rate: £350- £450 per day (Inside ir35)
Start Date: ASAP
Languages: English

Role – This is a great opportunity for an experienced Ontologist to join our client’s dynamic team to help structure, organize, and enrich our knowledge frameworks, enabling smarter insights and interoperability across our systems.
 

Key Responsibilities:

  • Design, develop, and maintain ontologies and semantic data models to represent domain knowledge.
  • Collaborate with subject-matter experts to gather requirements and define concepts, relationships, and hierarchies within specific domains.
  • Ensure the scalability and interoperability of ontologies across internal and external systems.
  • Develop and implement semantic reasoning, data integration, and query mechanisms using tools like OWL, RDF, and SPARQL.
  • Support the creation of knowledge graphs and other semantic data structures for advanced data analysis and AI applications.
  • Conduct quality assurance on ontologies to ensure consistency, accuracy, and alignment with standards.
  • Stay updated on industry trends, best practices, and advancements in ontology development and semantic technologies.
  • Provide documentation, training, and support to internal teams on ontology usage.

Key Skills and Knowledge:

  • 5+ years of experience in Ontology.
  • Experience designing and developing ontologies using tools like Protégé, TopBraid, or similar.
  • Proficiency in semantic web technologies, including RDF, OWL, and SPARQL.
  • Strong understanding of knowledge representation, data modeling, and taxonomies.
  • Ability to work collaboratively with technical and non-technical stakeholders.
  • Strong analytical, problem-solving, and organizational skills.
  • Familiarity with machine learning, natural language processing, and AI.
  • Strong communication skills (oral & written)
  • Rights to work in the UK is must (No Sponsorship available)

Should you be interested in being considered for this position and would like to discuss further. Please apply with your latest CV or share your CV directly with me to   

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.