Quantum Algorithm Engineer - Generative Models

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, qGANs, 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, qGANs, 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. …