Research Engineer – NLP and Machine Learning

Oxford, United Kingdom

Job Opening

Cambridge Quantum is seeking to hire three full-time NLP/ML research engineers to work with the Oxford-based QNLP team. In this role, you will be involved in the research, design and development of models on classical hardware.

We aim to break barriers and create a technological revolution that will create palpable change in the world and the everyday lives we lead. We are looking to grow our culture with passionate collaborators and talented minds who are just as enthusiastic about applying their knowledge and skills to do more and do good with quantum computing.

Please reach out to Cambridge Quantum’s human resources group using the contact information enclosed below and register your interest with our careers team. Should you have any questions, comments or enquiries, or if you’d like to request any disability accommodation you might require during the application or recruiting process, please contact us.



Diversity, Equity, Inclusion

Cambridge Quantum is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, colour, gender, religion, national origin, ancestry, disability, age, sexual orientation, or any other characteristic protected by law.

Job Description

What you will need to succeed

Strong research skills and experience in NLP and machine learning.
Very strong programming skills, especially in Python, preferably with industry experience.


Good knowledge of mathematical models of meaning and tensor-based NLP approaches.
Published work in top-tier NLP conferences.
Familiarity with basic principles of quantum computing.
Familiarity with basic category theory.

What’s in it for you

Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package including equity participation, 28 day’s paid annual leave, a workplace pension and a positive approach to flexible working.

The big picture

Cambridge Quantum is seeking to hire three full-time NLP/ML research engineers to work with the Oxford-based QNLP team. Quantum NLP is a new field of research aimed at the design and implementation of NLP models that run on quantum hardware. The Research Engineers will be working primarily with Dr. Dimitrios Kartsaklis.

The Quantum Natural Language Processing (QNLP) team at Cambridge Quantum follows a two-stage process, involving (1) research, design, and development of models on classical hardware; and (2) transportation of the models to quantum hardware. The current positions are related to the first stage, which is the design, prototyping and implementation of “quantum-friendly” NLP models on classical hardware. While the second stage of transferring the models on quantum hardware is not in the main responsibilities of the roles, some form of collaboration between the successful candidate and the quantum-computing specialists of the group will be required.

Candidates are expected to have good NLP/ML experience and very strong programming skills in Python. A substantial part of the work for this role will involve contributions to the code base of the team, which is currently under development. Knowledge of tensor-based NLP approaches, such as the DisCoCat model and tensor networks, as well as some familiarity with mathematical models of meaning, is in general desirable.



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DisCoCat Model
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