Senior Knowledge Engineer
UK Atomic Energy Authority
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Qualifications
- PhD or equivalent experience in Computer Science, AI or related field.
- Significant experience in knowledge engineering and semantic technologies.
- Proficiency with ontology engineering and graph technologies.
Responsibilities
- Develop semantic technologies to support data-driven fusion energy research.
- Lead and manage a small project team of researchers.
- Design and maintain modular ontologies and knowledge graphs.
Skills
Education
Tools
Job description
2 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
This range is provided by UK Atomic Energy Authority. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world’s energy? If so, read on.
Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs.
UKAEA leads the way in realizing fusion energy, partnering with industry and research for ground‑breaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovative, Committed, Trusted, and Collaborative.
- Outstanding defined benefit pension scheme details of which can be found at the end of this advert.
- Corporate bonus scheme up to 7% and a Relocation allowance (if eligible).
- Flexible working options including family friendly policies and the right to request flexible working from the start of your employment.
- Employee Assistance Programme and trained Mental Health First Aiders.
- Generous annual leave allowance starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays.
- Wide range of career development opportunities.
- A vibrant culture committed to equality and being fully inclusive.
For a step‑by‑step overview of how we hire from application to offer please see our Recruitment Process page: careers.ukaea.uk/join-us/recruitment-process
The salary for this role is £56,596 (inclusive of a Specialist Allowance). Onsite working is expected for 2–3 days each week, however, we actively support requests for flexible working.
This role is based at the following site: Culham, Oxfordshire. Please note that this role can also be based in Rotherham.
This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including the Disclosure & Barring Service (DBS) checks for criminal convictions and possibly a search of open source data.
We are looking for a Senior Knowledge Engineer to join our team. You will develop semantic technologies to support data‑driven fusion energy research, creating and maintaining ontologies and knowledge graphs that connect experimental data, simulations, and scientific literature. You will responsibly apply generative AI tools, such as large language models, to accelerate ontology development and knowledge graph creation while maintaining high standards of provenance and transparency.
Working across knowledge engineering, data integration, and applied AI, you will build scalable semantic systems for collaborative research, contribute to research strategy, supervise early‑career researchers, lead small projects and teams, and work closely with scientists and engineers to ensure solutions meet evolving research and industry needs. You will bring strong organisation and time‑management skills, including experience coordinating scientific or technical events, along with excellent written and verbal communication skills.
If in addition to the above, you have strong organisation and time‑management skills, including experience coordinating scientific or technical events, as well as excellent written and verbal communication abilities, we would love to hear from you.
- Lead and deliver projects, ensuring milestones, outputs, and budgets are met, while identifying and pursuing new research and funding opportunities aligned with UKAEA’s semantic data strategy.
- Manage a small team (1–3 staff) and supervise MSc and PhD students, supporting their development and delivery of high‑quality research.
- Contribute to internal and external collaborative projects, representing UKAEA in national and international forums and partnerships.
- Share research outputs and support user adoption of semantic tools through reports, presentations, software releases, publications, meetings, and knowledge‑sharing activities.
- Design, develop, and maintain modular, standards‑aligned ontologies and scalable knowledge graphs for fusion research, integrating experimental, simulation, and textual data.
- Apply generative AI and large language models to accelerate ontology development and knowledge graph population, while ensuring strong provenance, explainability, and quality assurance.
- Enable semantic interoperability through ontology alignment, vocabulary mapping, data integration workflows, and automated validation, versioning, and deployment processes.
- Work closely with scientists, engineers, and software teams to deliver robust semantic solutions, produce clear technical documentation, and promote best practices in knowledge engineering.
- PhD in Computer Science, AI or related field, or equivalent research/industry experience.
- Significant experience of knowledge engineering and semantic technologies (knowledge graphs, ontologies, RDF/RDFS/OWL, data modelling).
- Hands‑on experience with semantic standards and vocabularies (e.g. Dublin Core, DCAT, PROV).
- Proficiency with ontology engineering and graph technologies (e.g. Protégé, ROBOT, OWLAPI, Neo4j, GraphDB, Blazegraph).
- Practical experience with predictive and generative AI.
- Demonstrated teamwork and collaboration through project work, events, or co‑authored outputs.
- Experience using large language models, generative AI techniques, and prompt engineering.
- Record of scientific publication and familiarity with open science and FAIR data practices.
- Experience with AI‑enabled tool or assistant design.
- Familiarity with collaborative knowledge platforms such as Wikipedia or Wikidata.
A full list of our benefits can be found here https://careers.ukaea.uk/life-at-ukaea/employee-benefits/
UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds who want to help us achieve our mission. We are under‑represented from some groups and so want to encourage applications in particular from women in STEM, people from Black British Caribbean and African backgrounds and from Pakistani and Bangladeshi British backgrounds. Our Executive team, supported by our ‘Head of Equality, Diversity and Inclusion’ (EDI) and Wellbeing and our EDI Networks actively promote Inclusion and takes steps to increase diversity within our organization. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success.
UK Atomic Energy Authority is committed to being accessible. Please email talent@ukaea.uk if you have any questions or require help or adjustments to compete on a fair basis, for example, changes to the way we interview or share information.
Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.
Mid‑Senior level
Full‑time
Information Technology
Research Services
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
