AI-Assisted Software Engineer - Aldermaston

AWE plc; Mortimer West End; On-site; GBP 38,000 - 68,000; Full time

Benefits offered by this job

9-day working fortnight

Onsite parking

250–270 hours annual leave

Industry pension scheme 9–13%

Professional development funding

Employee assistance program

Life assurance

Volunteering and public service leave

Job summary

AWE plc is seeking an AI-Assisted Software Engineer to build secure, high-quality software at pace, embedding AI at every development stage. You will work with experienced engineers to learn rapidly, collaborate across teams, and contribute to AWE's AI Capability Development and AI Factory missions.

The role emphasizes hands-on coding, AI tool usage, and continuous upskilling, with a strong focus on safety and compliance in a cutting-edge environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, or related STEM.
• Hands-on software development experience through placements, projects, or initial employment.
• Exposure to AI or automation tools in coding and basic data/ML concepts.

Responsibilities

• Contribute to on-schedule delivery of software features and applications.
• Use AI tools to boost productivity and accelerate iteration.
• Ensure code and configurations adhere to coding standards, cybersecurity policies, and AI governance.

Skills

Hands-on software development

AI tooling exposure

Cloud platforms

DevOps (CI/CD, Docker, Kubernetes)

Education

Bachelor's degree in Computer Science, Software Engineering, AI, or related STEM

Tools

Docker

Kubernetes

CI/CD tools

Job description

accountable for maintaining robust quality controls - including thorough testing and documentation - to deliver reliable, secure, and compliant solutions. Bring genuine energy, focus, and passion for staying at the cutting edge, proactively tracking emerging AI-assisted development tools and practices and committing to continuous upskilling. Champion these innovations within the team, feeding them back to incrementally improve AWE's software engineering methods over time. Work effectively within multi-disciplinary teams, supporting the AI Platform Specialist and more senior engineers by taking ownership of assigned tasks and proactively resolving issues. Ensure open communication and coordination with colleagues (e.g. platform, data, and adoption teams) so that software components integrate seamlessly into the broader enterprise environment and AI Factory's pipelines. Uphold a high-performance culture by demonstrating a bias for action and delivering tangible outcomes.

Software Engineer, you'll help AWE build secure, highquality software faster by embedding AI into every stage of development. This earlycareer role turns ideas into working applications with speed and precision, using modern AI tools-from coding copilots to automated testing-to boost productivity without compromising safety. Working alongside experienced engineers, you'll learn rapidly, collaborate widely, and play a key part in AWE's AI Capability Development and AI Factory missions to deliver software at pace and scale.

Key Accountabilities

Contribute to the on-schedule delivery of software features and applications that meet specified requirements, using AI-driven development tools to improve speed and efficiency. Success is measured by reduced development cycle times and high-quality outputs that pass testing and user acceptance. Ensure code and configurations adhere to AWE's coding standards, cybersecurity policies, and AI governance requirements.

The AI-Assisted Software Engineer is, AI-Assisted Software Engineer is accountable for using AI tools to boost productivity, enabling faster iteration on business ideas and maximizing the value delivered from the AI program.

Who are we looking for?

We do need you to have the following: Bachelor's degree (or equivalent training/experience) in Computer Science, Software Engineering, AI, or a related STEM discipline. Hands-on experience in software development through work placements, academic projects, or initial employment. Exposure to AI or automation tools in coding (for example, having used code generators, scripting with AI APIs, or contributed to relevant projects) and a basic understanding of data and machine learning concepts. Familiarity with AI-assisted development tools Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Further study or certification in relevant fields (e.g. a Master's degree, or professional certifications in software development, cloud computing, or AI/ML foundations) demonstrating commitment to continuous learning. Familiarity with cloud development platforms and modern DevOps practices, such as containerization (Docker, Kubernetes) or CI/CD tools, is a plus. Formal training or certification in Agile software development or related methodologies.

Work hard, be rewarded: We ask a lot and set the bar high because our work truly matters.

In return we offer balance, with award winning benefits including:

• 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.
• Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
• Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
• Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
• Employee Assistance Programme and Occupational Health Services.
• Life Assurance (4 x annual salary).
• Discounts - access to savings on a wide range of everyday spending.
• Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

AI-Assisted Software Engineer - Aldermaston, Berkshire,rg7 4pr Job Type:Full-TimeSalary: + benefits AI-Assisted Software Engineer Closing date: 8th October 2026 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: 37,540 - 68,000 p.a (depending on your suitability, qualifications, and level of experience) Working pattern: Working Pattern: AWE operates a 9-day working fortnight, with every other Friday as a non-working day. For this role, employees are required to work mostly onsite. We support flexible working arrangements where possible, including part-time and varied working hours, while maintaining an onsite presence. Please let us know if you would like us to consider an alternative working pattern as part of your application.