Fusion AI Scientist – Data, LLM & HPC Innovator

UK Atomic Energy Authority; Culham; On-site; GBP 65,000 - 78,000; Full time

Benefits offered by this job

Bonus up to 7%

Relocation allowance

Defined benefit pension

Flexible working options

25 days annual leave

Site closure 3 days at Christmas

Job summary

UK Atomic Energy Authority seeks a senior AI/ML specialist focused on fusion science to lead advanced AI solutions and large language model deployments. You will work on secure data architectures, parallel GPU workflows, and integration with engineering products in a research environment.

The role demands a PhD with post-doctoral experience, publications, and strong programming skills in compiled languages or Python.

Qualifications

• PhD in computation/physics with AI/ML for fusion.
• Track record of publishing in AI for fusion or transferable areas.
• Experience with at least one compiled language (C++, Fortran, C, Rust) or advanced scripting (Python, Julia, R).
• Good UNIX/Linux command line experience and ability to work in diverse teams.

Responsibilities

• Develop corporate AI solutions (e.g., MS Copilot, Gemini Enterprise).
• Ensure data privacy and comply with UK government regulations (Export Control, data sovereignty).
• Deploy large LLMs on parallel GPU architectures.
• Advance LLM applications: AI-assisted coding and engineering product integration.
• Work with knowledge graphs and graph-based retrieval systems.
• Port AI/ML models to control hardware with real-time workflows and FPGA porting.
• Optimize AI workflows on GPUs and port to specialized hardware (Nvidia GH200, AMD Mi300x, TPUs).
• Apply AI to digital engineering workflows and CAD/meshing tools.

Skills

C++

Fortran

C

Rust

Python

Julia

R

UNIX CLI

English (fluent)

Education

PhD in computational/ mathematical/ physical science

Post-Doctoral experience in AI/ML for fusion

Tools

Neo4j

GraphRAGs

Gmsh

CGAL

CUBIT

Ansys-PyPrimeMesh

Job description

UK Atomic Energy Authority seeks a senior AI/ML specialist focused on fusion science to lead advanced AI solutions and large language model deployments. You will work on secure data architectures, parallel GPU workflows, and integration with engineering products in a research environment.

The role demands a PhD with post-doctoral experience, publications, and strong programming skills in compiled languages or Python.