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

Apply Now

Lead Advanced Visualisation Scientist

UK Atomic Energy Authority
Clifton Hampden
1 year ago
Applications closed

Related Jobs

View all jobs

Consultant - Data Scientist

Data Scientist - Tax & Legal

Data Scientist

Data Scientist

Lead Data Analyst - Operations

Data Scientist

Lead Advanced Visualisation Scientist Abingdon Rd, Culham, UK Full-time Salary: Level 5 Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Level 5 Department: Data Solutions Company Description 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 worlds 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 realising fusion energy, partnering with industry and research for groundbreaking 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. Job Description As an employee of UKAEA, you will benefit from: - Outstanding defined benefit pension scheme, details of which can be found at the end of this advert. - Corporate bonus scheme of up to 7% and a Relocation allowance (if eligible). - Flexible working options including family friendly policies. - 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 . The salary for this role is £54,376 (inclusive of a Market Premium Payment (MPP)). This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions. The Role Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy. As Lead Advanced Visualisation Scientist , you will play a pivotal role in the Data Solutions team at UKAEA, conducting support, research, and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machine learning, and Exascale technologies. We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our research directly informing engineering efforts. Currently, we're seeking individuals for Advanced Visualisation roles to contribute to various projects, providing software development, data analysis, and user support. You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting user needs. Additional Responsibilities: - Work in a team to support the development of Advanced Visualisation tools and investigate novel approaches to improve visualisation and analytical capabilities for experiments on JET, MAST-U and other fusion devices. - Exploit modern tools and methods of Visualisation in collaboration with HPC and AI experts. - Support the team lead in the development of advanced visualisation tasks, and supervision of junior members of staff. - Contribute to reporting results and outreach within and outside the organisation. Qualifications Essential Requirements: - Master's or Doctorate in computational, mathematical, or physical sciences. - Experience in Scientific or 3D visualisation background is highly desirable. - Proficiency in common visualisation frameworks like Kitware-Paraview, Omniverse, Blender, or Unity. - Proficiency in 3D modelling software such as Autodesk Maya, Blender, or 3ds Max. - Excellent artistic and creative skills, with a strong portfolio demonstrating proficiency in 3D modelling, texturing, and environment design. - Extensive experience in computer graphics, including knowledge of rendering techniques, shading languages, and graphics APIs (e.g., OpenGL, DirectX, Vulkan). - Experience with Python, C++, CUDA, or VTK. - Experience with visualisation-relevant data formats and proficiency in data conversion (e.g., VTK, VDB, USD, HDF5). - Excellent problem-solving skills and the ability to work independently as well as in a team environment. - Strong communication skills, both written and verbal, with the ability to articulate complex technical concepts to diverse audiences. Ways To Stand Out From The Crowd - Experience with machine learning frameworks and their application in computer graphics and computing systems. - Knowledge of high-performance computing, distributed computing, or cloud-based architectures. - Hands-on experience with Nvidia Omniverse SDKs, PIXAR's Universal Scene Description (USD). - Familiarity with real-time rendering engines like Nvidia Omniverse, Unreal or Unity Engine, as well as visualisation techniques for PIXAR's Universal Scene Description (USD). - Experience with real-time data visualisation in tools like Grafana, Kibana, or other open-source dashboarding tools. - Experience in developing and utilising digital twins for simulation and analysis of real-world systems and processes. - Contributions to open-source projects or published research in relevant fields. Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women. Our Executive team, supported by our 'Equality, Diversity and Inclusion' (EDI) Partner and Inclusion Ambassadors, actively promotes EDI 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. ADZN1_UKTJ

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.