Graduate Applied AI Engineer in London

Graduate Applied AI Engineer in London

London Full-Time 81000 - 99000 £ / year (est.) Hybrid
Resonance

At a Glance

  • Tasks: Build production AI systems and solve real-world problems from day one.
  • Company: Join Resonance, a leading applied AI company backed by top investors.
  • Benefits: Competitive salary, equity, and hands-on experience across various industries.
  • Other info: Dynamic team environment with excellent growth opportunities and comprehensive training.
  • Why this job: Be at the forefront of AI innovation and make a tangible impact.
  • Qualifications: Degree in Computer Science or related field; strong coding skills in Python or TypeScript.

The predicted salary is between 81000 - 99000 £ per year.

We're looking for top 1%, high agency, AI-forward graduates to join the first graduate cohort at Resonance as Applied AI Engineers. We have recently raised one of the largest ever European seed rounds, with investment from Anthropic and Hg Capital, to deploy AI into the economy and rebuild businesses for the AI era. You'll work at the frontier and solve real problems in an environment that champions ownership, autonomy and innovation at pace.

Resonance is an applied AI company. Our mission is to close the AI diffusion gap and rebuild businesses for the AI era. We're looking to hire Europe's elite AI talent.

We believe the economic diffusion of AI is the major challenge of the next decade. Foundation models are advancing far faster than organisations can absorb them; the bottleneck is embedding AI deeply into the core processes of a company to drive an inflection in pace and create organisational advantage. Europe is falling behind on AI, and we exist to help its businesses build real, defensible advantage from it rather than simply adopting it.

As a Graduate Applied AI Engineer, you'll build production AI systems for our clients from your first month, working alongside Senior Applied AI Engineers who review your code and coach you. You'll ship agents, integrations, data pipelines and evals, working across the stack from the AI layer to the client's core systems and the interfaces people use. You'll sit with the people who do the work today, see how AI changes it, and help client teams run and extend what we build. You'll also contribute to Resonance's own AI products and shared platform, take on more ownership as you grow, and help shape how we train, build and grow as one of our first graduate cohort.

Your first year: Comprehensive training when you join, covering AI engineering, our platform and how we work with clients. You'll be on a client team from your first month, in a small team where you know everyone by name, founders included. Nobody expects you to know it all when you start: asking for help early is part of the job, and senior people make time for it. You'll start as a Junior Engineer and typically become an Engineer within 18-24 months.

What we're looking for: You take the initiative, learn fast and go looking for hard problems. You're AI-obsessed, trying new models and tools the day they come out. You're finishing a degree in Computer Science or a closely related subject, such as Software Engineering, Computer Engineering, Data Science or Mathematics with a strong programming component, or you graduated in one in the last two years, and you can show what you're capable of through your grades, competitions, internships, societies or things you've built. You write good code in Python or TypeScript and have built something with LLMs: a project, a hackathon entry or an open-source contribution. A software engineering internship, ideally at a startup or fast-moving product team, AI side projects or a company you founded are a plus. If you don't tick every box, apply anyway.

What we offer: Competitive total compensation plus equity. Instead of one product at one company, you'll ship several production AI systems a year across industries, and help build our own AI products and platform. You'll learn alongside engineers and operators who have embedded AI into 50+ businesses, in a team aiming to be one of the most talent-dense in Europe and worldwide. Every build moves another European business to the right side of the productivity chasm.

Logistics: London, 3+ days a week in the office or at client sites, mostly in the UK and Europe. English is our working language. We can sponsor visas for eligible candidates. Start date Summer 2027 (dates to be confirmed). We also offer Summer 2027 internships for students in the penultimate year of their degree.

Resonance is an equal opportunity employer. We welcome applications regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. If you need adjustments at any stage, tell us and we'll make them.

Graduate Applied AI Engineer in London employer: Resonance

At Space Insider, we pride ourselves on being an exceptional employer, offering a fully flexible, remote-first working environment that empowers our team to thrive. With direct exposure to senior leadership and the opportunity to shape our consulting practice, we foster a highly collaborative culture that prioritises employee growth and innovation in the rapidly evolving space sector. Join us to be part of a supportive team where your contributions are valued and career progression is encouraged.

Resonance

Contact Details:

Resonance Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Applied AI Engineer in London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Resonance or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Resonance.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Resonance.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Resonance that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Graduate Applied AI Engineer in London

Python
TypeScript
AI Engineering
Data Pipelines
Integrations
Production AI Systems
Large Language Models (LLMs)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Resonance.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Resonance and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Resonance

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Resonance uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.