At a Glance
- Tasks: Shape the future of AI in fusion research and tackle complex challenges.
- Company: Join UKAEA, a leader in clean energy innovation and fusion technology.
- Benefits: Enjoy a competitive salary, generous leave, and flexible working options.
- Other info: Collaborate internationally and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on sustainable energy while advancing your career in AI/ML.
- Qualifications: PhD in a relevant field and expertise in AI/ML for fusion science required.
The predicted salary is between 63000 - 77000 £ per year.
About us
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 organisations to achieve ground-breaking advancements. Our goal is to bring fusion electricity to the grid by developing the power stations of tomorrow and the skilled workforce to deliver them.
About the Job
The Data Solutions Unit within UKAEA’s Computing Division delivers innovative research, development, and specialist support across data engineering, artificial intelligence, machine learning, FAIR data architectures, high-performance computing, and advanced digital technologies. Working at the forefront of fusion research, the team develops secure, scalable data solutions that enable scientists and engineers to optimise their work, accelerate discovery, and support the development of future fusion technologies through collaboration with academia, industry, and partners across UKAEA.
This is an opportunity to shape the future application of artificial intelligence in fusion research, working at the intersection of AI, HPC, and scientific discovery. As part of the Artificial Intelligence and Machine Learning team, you will provide research expertise in the application of AI/ML to complex fusion challenges. You will contribute to research programmes as part of a team of UKAEA and international collaborators, to develop innovative solutions using advanced computing environments, including High-Performance Computing (HPC). With significant autonomy, you will influence research directions, develop new opportunities, publish impactful research, and represent UKAEA as a leading voice in AI-enabled fusion research.
What you’ll be Doing
- Enterprise AI Specialist
- Corporate AI solutions (MS-Copilot, Google Gemini Enterprise)
- Data privacy/protection rules and UK government regulations (Export Control, regional Cloud deployment, data sovereignty)
- Open-source LLM deployment (Ollama, vLLM, Open WebUI)
- Large LLM deployment on parallel GPU architectures
- Advanced LLM applications (AI-assisted coding, LLM integration in engineering products)
- Knowledge Graphs (Neo4j, GraphRAGs)
- Advanced Control Specialist
- AI control methods (Reinforcement Learning, supervised learning, preference optimization)
- Applied control systems (Robotics, experimental control systems)
- Portability of AI/ML models onto control hardware (real-time workflows, compiled models, FPGA porting)
- AI and HPC Specialist
- Optimisation of AI workflows on parallel GPU architectures
- Porting of AI workflows on specialised hardware (Nvidia GH200, AMD Mi300x, Google TPUs, AWS)
- Large-scale deployment on Cloud Compute architectures
- AI for Engineering applications Specialist
- Application of AI to Digital Engineering workflows.
- Open-source CAD software (FreeCAD, OpenSCAD, LibreCAD)
- Proprietary Engineering software (Ansys, CATIA, Simulia, Siemens-NX)
- CAD Meshing for simulations (Gmsh, CGAL, CUBIT, Ansys-PyPrimeMesh)
- Engineering data visualisation (Blender, Omniverse, USD, VTK)
- Systems Engineering (MBSE, Ansys-Twin-Builder, Dassault-3DX)
- Foundation Models Specialist
- Transformers architectures
- Vision Transformer models
- Fine-tuning and transfer learning
- Scientific Foundation Models
- Large-scale data engineering
What you’ll Bring
- A PhD degree in a computational, mathematical or physical science discipline, with Post-Doctoral and professional experience (or equivalent experience in either a commercial or research environment), relevant to the area of AI/ML for fusion science.
- Recognised internationally as an expert in the field of AI for fusion
- Track record of publishing research in the area of AI for fusion, or a similar area of research with transferable knowledge to fusion science.
- Demonstrable experience of at least one compiled programming language (e.g. C++, Fortran, C, Rust) or advanced scripting language (e.g. Python Julia, R)
- Good experience of the UNIX operating system, particularly the command line interface
- Ability to work within a diverse team, but willingness to take significant personal responsibility
- Excellent written and spoken English
UKAEA is an onsite organisation, and this role requires regular onsite presence (usually between 3-5 days in any given week) in line with business needs. We actively support flexible working arrangements where this is compatible with the role.
Benefits
- A salary of £64,820 (inclusive of a £6,500 specialist allowance)
- Up to 7% corporate performance bonus
- Final salary defined benefits pension scheme with an equivalent of 21.5% employer pension contribution
- 25 days annual leave, 2.5 privilege days and 8 Bank Holidays
- 3 days of site closure over Christmas break
- Flexible working options plus family-friendly leave provisions
Our commitment to ED&I
UKAEA's mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, inclusion and accessibility, and strive to ensure fair representation across our workforce.
Please email if you have any questions or require adjustments to help you participate fairly in our recruitment process, for example changes to the way we interview or share information. As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates. We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made on merit and further information can be found here.
Additional information
International travels for short periods of 3-5 days are typical of roles at this level, to nurture collaborations and attend key conferences and workshops in this area of research.
AI/ML Data Scientist for Fusion & HPC employer: UK Atomic Energy Authority
The UK Atomic Energy Authority is an exceptional employer, offering a dynamic work environment where innovation and safety are at the forefront of our mission. With a strong commitment to employee development, we provide numerous growth opportunities and foster a collaborative culture that values every team member's contribution. Located in a cutting-edge facility, our focus on sustainability and compliance ensures that you will be part of a forward-thinking organisation dedicated to making a meaningful impact in the field of energy.
Contact Details:
UK Atomic Energy Authority Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Data Scientist for Fusion & HPC
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UK Atomic Energy Authority!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI/ML Data Scientist for Fusion & HPC at UK Atomic Energy Authority.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UK Atomic Energy Authority.
✨Apply Directly through Our Website
When you find a suitable opening like AI/ML Data Scientist for Fusion & HPC at UK Atomic Energy Authority, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI/ML Data Scientist for Fusion & HPC
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UK Atomic Energy Authority, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UK Atomic Energy Authority. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UK Atomic Energy Authority
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UK Atomic Energy Authority!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
