Graduate Control & Software Engineer (Automation & ML)

UK Atomic Energy Authority; Abingdon; On-site; GBP 26,000 - 34,000; Full time

Benefits offered by this job

Pension 21.5%

25 days annual leave (plus holidays)

Flexible working

Skern Lodge residential

Job summary

UK Atomic Energy Authority is offering a Graduate Development Programme in the Advanced Control department. This role focuses on developing software for fusion research, using C++, Python and AI, with hands-on mentoring and opportunities to work on automation, data acquisition and machine learning projects.

You will spend 20% on professional development and 80% on role-based work within a team expanding technical knowledge and exploring different project roles to shape your future career.

Qualifications

• Degree in Science or Engineering required for entry to the graduate programme.
• Curiosity and eagerness to learn and take on new challenges.
• Ability to communicate clearly to technical and non-technical audiences.
• Strong organisational skills and adaptability to manage workload.

Responsibilities

• Develop software solutions using C++, Python and AI for fusion research and engineering projects.
• Contribute to design, testing and deployment of software for automation, control systems, data acquisition and machine learning.
• Collaborate with multidisciplinary teams to solve complex technical challenges and deliver high-quality software.
• Apply software engineering best practices including testing, version control, documentation and continuous improvement.
• Build technical and professional skills through hands-on experience, mentoring and collaboration in a safe, inclusive environment.

Skills

C++

Python

AI

Education

Degree in Science or Engineering

Job description

UK Atomic Energy Authority is offering a Graduate Development Programme in the Advanced Control department. This role focuses on developing software for fusion research, using C++, Python and AI, with hands-on mentoring and opportunities to work on automation, data acquisition and machine learning projects.

You will spend 20% on professional development and 80% on role-based work within a team expanding technical knowledge and exploring different project roles to shape your future career.