DeepRec.ai
Quantum Machine Learning Engineer
Quantum Machine Learning Engineer at DeepRec.ai, based in London. This is a permanent role.
- Pay
- Not given by the employer
- Hours and contract
- Permanent · On site
- Location
- London
- Closing date
- Sector
- Data Analyst
Reference jobs/quantum-machine-learning-engineer-129628
About the role
An opportunity to join an innovative quantum computing company developing photonic quantum systems for machine learning, generative AI and optimisation. You will develop and implement practical quantum machine learning and optimisation applications, working with customers, research partners and internal engineering teams to take projects from concept through to implementation and benchmarking. This is a hands-on role combining quantum algorithm development, scientific programming and technical collaboration.
Key Responsibilities
- Develop and implement quantum machine learning and optimisation applications for real-world use cases.
- Design, prototype and benchmark algorithms using the company's quantum hardware and software.
- Collaborate with customers, research partners and internal engineering teams on technical projects.
- Evaluate application performance and communicate findings through reports, presentations and publications.
- Contribute improvements to software tools, algorithms and libraries.
- Support technical discovery calls and proof-of-concept projects alongside commercial teams.
- Deliver technical workshops, customer training and onboarding.
- Document applications and methodologies to support knowledge sharing.
Requirements
Essential:
- Master's or PhD in Physics, Computer Science or a related field.
- Experience in quantum machine learning and/or quantum optimisation.
- Strong scientific programming skills, particularly Python and Git.
- Experience with relevant quantum computing and ML frameworks.
- Ability to independently scope and deliver complex technical projects.
- Experience collaborating with external technical partners or end-users.
- Excellent communication skills and the ability to explain complex concepts to different audiences.
- Experience with photonic quantum computing.
- Quantum hardware and application benchmarking.
- Hybrid quantum-classical algorithms and architectures.
- Strong classical machine learning expertise.
- Publications in quantum computing or ML.
- Previous customer-facing, technical consulting or pre-sales experience.
Benefits & Opportunity
- Work at the forefront of commercial quantum computing and AI.
- Hands-on involvement in developing real-world quantum applications.
- Exposure to advanced photonic quantum hardware and hybrid architectures.
- Collaborate with leading customers, research partners and engineering teams.
- Influence software development, applications and technical roadmaps.
- Competitive salary and benefits package.
- Hybrid working in Central London.
Reference: jobs/quantum-machine-learning-engineer-129628 · Posted 22 hours ago · Closes 2 Feb 2027 · Listed via DeepRec.ai
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