Graduate Software Engineer

BrighterBox; City Of London; On-site; GBP 30,000 - 40,000; Full time

Job summary

An innovative EdTech startup in the City of London is seeking a graduate engineer to contribute to building and improving AI-driven features. You will collaborate with a team of experienced engineers, gaining hands-on experience early on. Ideal candidates will have a strong academic background in STEM, exposure to AI, and programming skills in Python or JavaScript. This role offers a unique opportunity within a supportive and ambitious team culture, perfect for fast learners eager to solve real problems.

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 (Python, JavaScript).

Responsibilities

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

Skills

Strong academic grounding in Computer Science

Exposure to AI and machine learning

Solid programming fundamentals (Python, JavaScript)

Logical problem solving

Communicating ideas clearly in a small team

Education

STEM degree

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