Quantum Algorithm Engineer - Generative Models in London

Quantum Algorithm Engineer - Generative Models in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop low-qubit quantum methods for synthetic data generation and benchmark against classical alternatives.
  • Company: OQC, a pioneering quantum computing company with a culture of bold innovation.
  • Benefits: Competitive salary, unique lab infrastructure, and opportunities for professional growth.
  • Other info: Dynamic environment with the largest fundraise in European quantum computing history.
  • Why this job: Join a world-class team and redefine the limits of computation in a fast-evolving field.
  • Qualifications: Experience in quantum algorithms and generative modelling, with strong analytical skills.

The predicted salary is between 63000 - 77000 £ per year.

  • Description
  • Quantum Algorithm Engineer – Generative Models

At OQC, we aren’t just theorising about the future; we’re building it.

Born from a philosophy of bold innovation, we’ve successfully transitioned quantum computing from an academic dream into a commercial reality.

The most exciting thing is that we’re just getting started and we’ve recently closed our £260 million Series C funding round – the largest fundraise ever completed by a quantum computing company in Europe.

The Purpose

As a Quantum Algorithm Engineer specialising in Generative Models, you'll develop low-qubit quantum methods for synthetic and rare-event data generation.

You'll explore where quantum approaches can deliver meaningful value, rigorously benchmark them against strong classical alternatives, and turn validated research into components that can run through OQC's hybrid computing platform.

The Role

Based in London, you'll work at the intersection of quantum algorithms, generative modelling and applied product development.

You'll design and test quantum generative approaches on both simulators and QPUs, optimising them around the realities of today's quantum hardware.

This is an opportunity to take quantum algorithms beyond theoretical performance.

You'll work experimentally, challenge assumptions with evidence and help determine which approaches have the potential to become useful, repeatable capabilities within real-world hybrid computing workflows.

  • What You'll Be Working On
  • Develop conditional, low-qubit quantum generators for synthetic and rare-event data, including banking use cases.
  • Design and evaluate approaches including latent-space QCBMs, adversarial models and continuous-output quantum generative methods.
  • Experiment with QCBMs, q GANs, quantum Boltzmann methods, variational circuits and quantum sampling techniques.
  • Benchmark quantum generative models rigorously against strong classical alternatives to establish where they provide meaningful value.
  • Optimise circuits, measurements and training requirements around realistic QPU constraints and hardware limitations.
  • Test and validate approaches across simulators and quantum hardware, using experimental evidence to guide development.
  • Package validated quantum generator components for repeatable execution through OQC's hybrid computing platform.

What We're Looking For

  • Experience as a quantum algorithms researcher or engineer, with a focus on low-qubit generative modelling.
  • Hands-on experience with approaches such as QCBMs, q GANs, quantum Boltzmann methods, variational circuits or quantum sampling.
  • Strong understanding of quantum algorithms and the practical constraints involved in executing them on current quantum hardware.
  • A rigorous experimental approach, including a willingness to benchmark quantum techniques against credible classical alternatives.
  • The ability to turn research questions into structured experiments, analyse results and use evidence to determine the next technical direction.
  • Strong ownership and communication skills, with the ability to collaborate effectively across quantum, software, product and engineering disciplines.
  • Degree or equivalent practical experience in Quantum Computing, Computer Science, Physics or a related discipline.
  • The 'Nice-to-Haves'
  • Experience taking quantum research software or experimental methods into repeatable engineering workflows.
  • Experience packaging research algorithms or models for integration into broader software platforms.
  • Familiarity with regulated enterprise use cases and evidence-led product development.
  • Experience applying quantum generative modelling to synthetic or rare-event datasets.
  • A pragmatic, curious approach and comfort working in a fast-evolving technical environment.
  • A relevant professional or postgraduate qualification.
  • Why Join OQC

You will join a world-class team at the forefront of the next computational era.

We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation.

Learn more about our benefits and positive work culture here

https://oqc. tech/company/careers-at-oqc/

Quantum Algorithm Engineer - Generative Models in London employer: Oxford Quantum Circuits

At Oxford Quantum Circuits, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Live Services team is dedicated to employee growth, offering opportunities to develop cutting-edge monitoring solutions in the exciting field of quantum computing. Located in the vibrant city of Oxford, we provide a supportive environment where your contributions directly impact the future of technology, making your work both meaningful and rewarding.

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Contact Details:

Oxford Quantum Circuits Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantum Algorithm Engineer - Generative Models 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 Oxford Quantum Circuits 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 Oxford Quantum Circuits.

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We think you need these skills to ace Quantum Algorithm Engineer - Generative Models in London

Quantum Algorithms
Generative Modelling
Low-Qubit Quantum Methods
QCBMs
qGANs
Quantum Boltzmann Methods
Variational Circuits

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 Oxford Quantum Circuits.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Oxford Quantum Circuits 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 Oxford Quantum Circuits

✨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 Oxford Quantum Circuits 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.