Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Ontologist

Focus Cloud
Southend-on-Sea
7 months ago
Applications closed

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 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.