Quantum Algorithm Engineer – Generative Models

Oxford Quantum Circuits (OQC)

. Develop conditional, low-qubit quantum generators for synthetic and rare-event data, including banking use cases .

Posted 9/25/2026full-timeLondon • United KingdomMid-LevelSenior💰 £260,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing low-qubit quantum generators and generative modeling techniques, with a strong focus on experimental validation and integration into engineering workflows. Proficient in collaborating across disciplines to drive product development in quantum computing.

Highest-signal resume keywords

Quantum Algorithms ResearchLow-Qubit Generative ModellingQCBMsQGANsQuantum Boltzmann Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantum Sampling TechniquesVariational CircuitsBenchmarking Quantum ModelsCircuit OptimizationExperimental Evidence Analysis

Soft Skills

Strong OwnershipCommunication SkillsCollaborative Teamwork

Tools & Technologies

Quantum HardwareHybrid Computing PlatformSimulators

Certifications & Qualifications

Degree in Quantum ComputingDegree in Computer ScienceDegree in Physics

Industry Keywords

Synthetic DataRare-Event DataRegulated Enterprise Use CasesEvidence-Led Product Development

About the role

Key responsibilities & impact

Develop conditional, low-qubit quantum generators for synthetic and rare-event data, including banking use cases
Design and evaluate 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 against strong classical alternatives
Optimise circuits, measurements and training requirements for realistic QPU constraints and hardware limitations
Test and validate approaches across simulators and quantum hardware
Use experimental evidence to guide development and determine technical direction
Package validated quantum generator components for repeatable execution through OQC's hybrid computing platform
Work at the intersection of quantum algorithms, generative modelling and applied product development

Requirements

What you’ll need

Experience as a quantum algorithms researcher or engineer, with a focus on low-qubit generative modelling
Hands-on experience with QCBMs, qGANs, quantum Boltzmann methods, variational circuits or quantum sampling
Strong understanding of quantum algorithms and practical constraints of current quantum hardware
Rigorous experimental approach and willingness to benchmark quantum techniques against credible classical alternatives
Ability to turn research questions into structured experiments, analyse results and use evidence to determine technical direction
Strong ownership and communication skills
Ability to collaborate across quantum, software, product and engineering disciplines
Degree or equivalent practical experience in Quantum Computing, Computer Science, Physics or a related discipline
Nice-to-have: experience taking quantum research software or experimental methods into repeatable engineering workflows
Nice-to-have: experience packaging research algorithms or models for integration into broader software platforms
Nice-to-have: familiarity with regulated enterprise use cases and evidence-led product development
Nice-to-have: experience applying quantum generative modelling to synthetic or rare-event datasets
Nice-to-have: relevant professional or postgraduate qualification

Benefits

Comp & perks

Culture of bold innovation
Access to unique lab infrastructure
Opportunity to work at the forefront of quantum computing and help redefine the limits of computation
Benefits and positive work culture (details provided via the careers page)