Graduate Software Engineer

BRIGHTERBOX; Greater London; On-site; GBP 28,000 - 40,000; Full time

Job summary

An innovative EdTech company in Greater London is seeking a graduate engineer to contribute in building a cutting-edge SaaS platform. As part of a driven and supportive team, you'll work hands-on to develop AI-driven features, bringing ideas from concept to production in a fast-paced environment. Ideal candidates will have a strong background in a STEM field and programming skills. This role offers ownership, collaboration, and opportunities for rapid learning in a startup atmosphere.

Qualifications

• Strong academic grounding in Computer Science, Engineering or a related STEM degree.
• Exposure to AI and machine learning through university modules, dissertations or side projects.
• Solid programming fundamentals in Python, JavaScript or similar.

Responsibilities

• Work closely with experienced engineers to build, test and improve AI-driven features.
• Contribute to ideas from concept through to production in a collaborative environment.

Skills

Computer Science knowledge

AI and machine learning exposure

Programming fundamentals (Python, JavaScript)

Logical problem solving

Independent work

Clear communication

Education

Degree in Computer Science, Engineering or related STEM

Job description

This early-stage EdTech business is building a SaaS platform at the intersection of education, AI and machine learning. Backed by a highly academic engineering team, they're setting the bar high while actively looking to broaden their talent pool and bring in new ways of thinking.

Role overview

This is a hands‑on graduate engineering role where you'll be trusted early and expected to contribute. You'll work closely with experienced engineers to build, test and improve AI-driven features, taking ideas from concept through to production. It's a great fit for someone who enjoys solving real problems and learning fast in a startup environment.

You’ll be joining a smart, driven team that values curiosity, delivery and thoughtful debate. The culture is ambitious but supportive; people are encouraged to question ideas, take ownership and learn by doing.

What you're good at

• Strong academic grounding in Computer Science, Engineering or a related STEM degree
• Exposure to AI and machine learning through university modules, dissertations or side projects
• Solid programming fundamentals (Python, JavaScript or similar)
• Logical problem solving and clear thinking
• Working independently and seeing tasks through
• Communicating ideas clearly in a small team

Bonus points for

• Experience with ML frameworks or data-driven projects
• Personal projects, hackathons or open-source contributions
• An interest in EdTech or applied AI
• Comfort picking up new tools and technologies quickly