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For Companies At a Glance
- Tasks: Build AI-driven products and platforms that transform businesses and improve operations.
- Company: Join Hyphen, a fast-paced portfolio of global education companies.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid growth.
- Other info: Work collaboratively across multiple sectors and enjoy end-to-end product ownership.
- Why this job: Be at the forefront of AI innovation and make a real impact on diverse projects.
- Qualifications: Strong full-stack development skills and experience with AI/ML frameworks.
The predicted salary is between 60000 - 80000 £ per year.
We're building Hyphen's AI unit from scratch. This is the second hire. The focus is on building products and platforms that improve how our current businesses operate and building new businesses. This isn’t a role where you’re handed tickets. You’ll be in the conversation, figuring out what matters, and shipping solutions that get used. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products.
Salary: £60k-80k base. Reporting to the Director.
WHAT HYPHEN IS
Hyphen is a portfolio of global education companies spanning international education and AI skills — INTO, INTO Qualifications, iO-Sphere, Nurture Higher Education, The AI Board, and more in the pipeline. We're building new businesses, launching new products, and transforming how our companies operate — and we're doing it fast.
WHAT YOU'LL DO
- Work directly with stakeholders to understand problems, shape what should be built, and translate that into working solutions.
- Translate those conversations into working products — features, tools, automations, new businesses — using AI as the primary build tool.
- Full-Stack Ownership: end-to-end product ownership, including designing interfaces, managing data, and optimising backend performance.
- Work across multiple companies at once: different sectors, different problems, different contexts.
- Build and ship AI-powered solutions that improve how the business operates.
- Own what you build, iterate, improve, and maintain solutions based on real usage and feedback.
- Move fast, iterate, and continuously improve what’s in production.
WHO WE'RE LOOKING FOR
- Technical Proficiency: Strong experience in building full-stack applications.
- AI/ML Experience: Proficiency with machine learning frameworks (e.g., PyTorch, TensorFlow) and LLM-powered workflows.
- Product Mindset: Ability to translate business problems into technical, user-friendly solutions.
- Product Development: Experience with 0-->1 product creation or early-stage startups.
- Comfortable with ambiguity — you fill gaps sensibly and flag issues early.
- Proactive communicator — you surface blockers, not surprises.
- You've built something end-to-end that you can show us. Not describe. Show.
- Comfortable working directly with stakeholders and shaping solutions from loosely defined problems.
AI Product Engineer in City of London employer: Hyphen Education Group
Contact Detail:
Hyphen Education Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer in City of London
✨Tip Number 1
Get to know the company inside out! Research Hyphen and its portfolio. Understand their mission, values, and the specific challenges they face in AI. This will help you tailor your conversations and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Show off your skills! When you get the chance to chat with us, bring examples of your work. Whether it’s a project you’ve built or a problem you’ve solved, having something tangible to demonstrate your capabilities will make you stand out.
✨Tip Number 3
Be proactive in your communication. If you have questions or need clarification during the interview process, don’t hesitate to ask. It shows that you’re engaged and ready to tackle ambiguity head-on, which is exactly what we’re looking for!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re serious about joining our team and ready to dive into building amazing AI-driven solutions with us.
We think you need these skills to ace AI Product Engineer in City of London
Some tips for your application 🫡
Show Us Your Work: When applying, make sure to showcase something you've built from start to finish. We want to see your skills in action, not just hear about them. Include links or attachments that demonstrate your full-stack capabilities and AI-driven solutions.
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our job description. Highlight your experience with AI/ML frameworks and how you've tackled real-world problems in previous roles. We love seeing how you connect your background to what we’re doing at Hyphen.
Be Proactive in Communication: In your written application, show us that you’re a proactive communicator. Mention how you’ve effectively collaborated with stakeholders in the past and how you tackle ambiguity. This will give us a glimpse of how you might fit into our fast-paced environment.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the necessary updates. Plus, it’s super easy to do!
How to prepare for a job interview at Hyphen Education Group
✨Showcase Your Projects
Make sure to bring along examples of your work, especially any full-stack applications or AI-driven features you've built. It's not just about talking; showing what you've done will really impress the interviewers.
✨Understand the Business Context
Before the interview, research Hyphen and its portfolio companies. Understand their mission and how AI can enhance their operations. This will help you speak their language and demonstrate your product mindset.
✨Prepare for Technical Questions
Brush up on your knowledge of machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss how you've used these tools in past projects, especially in relation to LLM behaviour and debugging.
✨Communicate Proactively
During the interview, practice being a proactive communicator. Share how you’ve tackled ambiguity in previous roles and how you keep stakeholders informed about progress and blockers. This shows you're not just a doer but also a team player.