Quantum AI Consultant
London, United Kingdom
Up to £145k + Bonus & Benefits
Join a leading quantum tech company committed to pushing the boundaries of quantum computing. As a Quantum AI Consultant , you will spearhead the development of advanced quantum algorithms—focusing on Variational Quantum Eigensolvers (VQE) and Quantum Approximate Optimization Algorithms (QAOA)—while integrating machine learning methodologies to tackle complex industry challenges. This role offers a unique opportunity to shape the evolution of quantum technology and contribute to practical, high-impact solutions across domains.
Key Responsibilities
Algorithm Development & Optimization
- Design, implement, and refine NISQ-era algorithms (VQE, QAOA, hybrid methods) with a focus on performance and error mitigation.
Quantum–AI Integration
- Leverage quantum programming frameworks (Qiskit, Cirq, Pennylane) alongside AI libraries (PyTorch, TensorFlow) to create scalable quantum-classical workflows.
Project Leadership
- Guide interdisciplinary teams of physicists, AI researchers, and software engineers, ensuring strategic, on-time delivery in a collaborative environment.
Research & Innovation
- Evaluate emerging quantum solutions for commercial potential, bridging the gap between academic breakthroughs and market-ready products.
Performance & Reliability
- Employ error mitigation strategies, advanced simulation tools, and HPC frameworks (MPI) to maintain robust, efficient quantum-classical systems.
Ideal Candidate Profile
Academic & Research Excellence
- Ph.D. in Quantum Physics (or a closely related field), with extensive postdoctoral and/or industry R&D experience.
Deep Technical Expertise
- Proficiency in quantum many-body systems, NISQ-era techniques, and multiple programming languages (Python, C/C++, FORTRAN).
Thought Leadership
- Strong publication record, recognized contributions to quantum computing, and the ability to communicate complex concepts to technical and executive audiences.
Leadership & Collaboration
- Proven success mentoring and managing cross-functional teams, driving results in high-stakes R&D environments.
Project Insights
- Develop quantum algorithms that push current hardware boundaries to deliver industry-relevant solutions.
- Contribute to quantum-classical integration, optimizing data processing and analysis to solve real-world problems faster and more efficiently.
- Explore and innovate with large datasets through quantum machine learning, demonstrating tangible advantages over classical methods.
