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

Apply Now

Advanced Computing Specialist

UK Atomic Energy Authority
Culham
8 months ago
Applications closed

Related Jobs

View all jobs

AI & Machine Learning Specialist

AI and Machine LearningEngineer - (10783)

Data Analyst

AI Data Engineer

PET Data Analyst and Modeller (Research Associate)

AI & Machine Learning Specialist

Job Description

We are seeking an Advanced Computing Specialist to join our innovative team in Culham, United Kingdom. In this role, you will be at the forefront of cutting-edge computational research and development, leveraging high-performance computing systems to solve complex scientific and engineering challenges.

Your first project will focus on developing novel tools for simulating neutral physics in the Tokamak exhaust, a key challenge for fusion. This includes particle methods like Direct Simulation Monte Carlo and collisional-radiative modeling for multi-component plasmas, within an international, interdisciplinary team. You'll work with performance-portable tools such as JAX and SYCL. Candidates with fusion experience or backgrounds in areas like neutronics, chemical kinetics, or multi-phase combustion modeling are encouraged to apply.

  • Design, develop, and implement advanced computational algorithms and models to support scientific research and engineering applications.
  • Optimise and maintain high-performance computing systems and parallel computing environments.
  • Collaborate with researchers and scientists to translate complex problems into efficient computational solutions.
  • Analyse and visualise large-scale datasets using advanced data processing techniques.
  • Develop and implement machine learning algorithms for predictive modelling and data-driven decision making.
  • Provide expert guidance on best practices in scientific computing and software development.
  • Stay abreast of emerging technologies and methodologies in advanced computing and incorporate them into existing workflows.
  • Contribute to research publications and technical documentation related to computational advancements.


Qualifications

  • Master's degree or PhD in Computer Science, Computational Science, or a related field.
  • Experience in advanced computing or a related field.
  • Proficiency in advanced programming languages such as Python, C++, and Java.
  • Extensive experience with high-performance computing systems and parallel computing.
  • Strong knowledge of cloud computing platforms and their application in scientific computing.
  • Demonstrated expertise in data analysis, visualisation, and machine learning algorithms
  • Proficiency with scientific computing libraries and frameworks.
  • Proven track record of implementing complex computational solutions for large-scale data processing and analysis.
  • Experience working in research environments and familiarity with scientific or engineering applications of advanced computing.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent organisational skills and ability to manage multiple projects efficiently.
  • Effective communication skills to collaborate with cross-functional teams and present technical concepts to non-technical audiences.
  • Commitment to staying current with emerging technologies and methodologies in advanced computing.



Additional Information

A full list of our benefits can be found here https://careers.ukaea.uk/life-at-ukaea/employee-benefits/.  

We welcome talented people from all backgrounds who want to help us achieve our mission. We encourage applications from under-represented groups, particularly from women in STEM, people from Black British Caribbean and African, Pakistani and Bangladeshi British, and other ethnic minority backgrounds, people with disabilities, and neurotypical individuals. 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 organisation. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success.

Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications. 

For applicants applying from outside the United Kingdom or those who have spent time outside the UK in the last five years, please visit the following link for information on criminal records checks: https://www.gov.uk/government/publications/criminal-records-checks-for-overseas-applicants If your country of residence or previous residence is not listed on the website or if the UK Government does not have information on obtaining a criminal records check from that state, we regret to inform you that we cannot process your application. 

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.