This job is no longer available
This job expired on 04/08/2026. It no longer accepts applications.
Software Engineer – Defence (Hybrid, London)
Women in Data® · Londres et périphérie
Job description
About the role
Faculty is seeking an ambitious Software Engineer to join its Defence team in London. The role focuses on advancing cloud and edge computing solutions for high‑stakes defence projects, working alongside senior technical leaders at the intersection of Machine Learning Engineering and Data Science.
Key responsibilities
- Build and extend critical components of client deliverables across diverse software domains.
- Deliver robust technical artefacts in both compiled and non‑compiled languages.
- Implement engineering patterns and practices tailored for the defence sector.
- Collaborate closely with Machine Learning Engineering and Data Science teams to integrate solutions.
- Apply software‑engineering best practices to improve scalability and code quality.
- Execute CI/CD pipelines and manage deployments on Kubernetes and bare‑metal environments.
Required profile
- Eligibility for UK Security Clearance (SC).
- Willingness to work 2–4 days per week on‑site at client locations, with flexibility to work remotely or from the London office otherwise.
- Proven ability to solve bounded technical problems and deliver robust solutions.
Required skills
- Kubernetes
- CI/CD processes
- Cloud computing
- Edge computing
- Compiled languages
- Non‑compiled languages
- Bare‑metal deployment environments
What we offer
- Hybrid work model (onsite and remote flexibility).
- Opportunity to work on cutting‑edge AI solutions for national defence.
- Collaboration with a multidisciplinary team of senior technical leaders.
Questions fréquentes
Why are you reporting this job?
Explore further
Salaries, guides and searches in the United Kingdom.
Salaries by job title
A question about this job?
Ask it here: you will get the full job summary by e-mail, right away.
Boost your chances
Upload your CV — we will match you with relevant openings.
Analyzing your CV...
Women in Data®
Londres et périphérie