Graduate AI Engineer
Company: Hyperlayer
Role summary
Graduate AI Engineer is a role at Hyperlayer in London, England, United Kingdom (on-site). Posted 2026-08-26. Experience level: 0-2. No degree required.
- Job title
- Graduate AI Engineer
- Company
- Hyperlayer
- Location
- London, England, United Kingdom
- Work arrangement
- on-site
- Category
- AI & Machine Learning
- Experience level
- 0-2
- Degree required
- No
- Date posted
- 2026-08-26
Hyperlayer is looking for a driven engineer to help build the future of AI infrastructure without requiring a formal degree. It is a fantastic opportunity to jump into a high-growth environment where you can sharpen your technical edge and make a real impact on early-stage products.
Job description
We’re Growing Our AI Team 🚀
Hyperlayer is on a mission to reinvent how people and businesses move money, and we need a Graduate AI Engineer with big ideas to help us make it happen. This isn’t just about writing code; it’s about building the AI infrastructure for the future of payments.
You’ll work alongside experienced engineers across the AI team, learning the ropes on real projects from day one. If you’re eager to learn, love experimenting, and want your first role to actually stretch you, you’ll fit right in.
What You’ll Do
Support the AI team in building and shipping features for our platform, learning our tools and codebase as you go
Write clean, well-tested code under the guidance of more senior engineers, taking on more ownership as you grow in the role
Help collect, clean, and prepare data for AI/ML projects
Take part in code reviews, team discussions, and planning sessions - your input is welcome from day one
Experiment with AI tools and techniques under supervision, and share what you learn with the team
Participate in system level design discussions with your peers
Help make sure the AI systems you work on are well tested, reliable, and secure
Document your work clearly, so others on the team can build on it
Bring fresh ideas and curiosity - we want to hear your perspective, however new you are to the field.
Qualifications
A degree (or equivalent, including bootcamps) in Computer Science, Engineering, Maths, or a related field - or an equivalent level of self-taught experience
Solid foundations in Python, and enough SQL to be dangerous
A basic understanding of machine learning and AI concepts, e.g. from coursework, projects, or self-study
Comfort learning new tools quickly - we’ll teach you the specifics, you bring the appetite
Some exposure to git, APIs, or cloud platforms (AWS, GCP, or Azure) - through university, internships, or personal projects
A genuine interest in AI and how it’s applied to real-world problems
A data-driven mindset - you like digging into numbers and figuring out what they’re telling you
Strong communication skills and a willingness to ask questions
A collaborative attitude - you’re happy to learn from others and just as happy to pitch in
Curiosity and a genuine enthusiasm for experimenting, learning, and building things
Bonus Points For
Personal projects you’re proud of - a GitHub repo, a Kaggle competition, a hackathon entry, anything you built because you wanted to
Contributions to open-source projects, however small
Blog posts, tutorials, or write-ups where you’ve shared what you’ve learned
Participation in hackathons, competitions, or AI/ML communities
Internship or placement experience in software engineering or data/AI
Hands-on experimentation with LLMs or generative AI tools, even informally
Familiarity with cloud platforms or containerisation (Docker)
A portfolio, however small, that shows how you think and what you’re curious about
(You don’t need every skill. If you’re passionate about building the future with AI, we want to hear from you.)
How to apply
Please click on the ‘Apply’ button, you will be asked to provide an updated CV and answer some questions. For further information about this vacancy, you can contact us at: people@hyperlayer.com.
We will not be offering UK work visa sponsorship for these roles. Candidates will need an existing non-sponsored right to work in the UK.
Working at Hyperlayer
At Hyperlayer we are proud of our in-office culture. It makes a real difference to the working atmosphere and maximises collaboration in and across teams. This is critical to how we work and learn. Also, we think it makes for a great workplace!
We value our team and are proud to offer some great benefits:
A performance-based employee bonus scheme.
25 days annual leave plus bank holidays, a day off on your birthday, and an additional day per year of tenure to a maximum of 30.
Critical illness and life insurance cover.
AXA PPP Health Insurance, including gym offers.
Cycle-to-work scheme.
Referral bonus scheme.
Workplace Nursery Scheme
Equity, diversity, and inclusion
Hyperlayer’s mission is to make a positive impact on people’s lives, making it easier for everyone to manage their money.
Hyperlayer’s commitment to equity, diversity, and inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background.
We are constantly learning and striving to do better, and we expect all staff to actively take part in this process.
Data Privacy
As part of our recruitment process, Hyperlayer Limited collects and processes personal data relating to job applicants.
We are committed to being transparent about how we collect and use this data and to meeting our data protection obligations. To read more click here