Machine Learning Research Engineer - 5490

Cambridge University Press; Cambridge; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading academic publisher in Cambridge is seeking a Machine Learning Research Engineer. This role offers an opportunity to contribute to innovative projects that enhance learning for students and researchers worldwide. The ideal candidate will be part of a diverse team dedicated to exploring new methods and approaches in education. Commitment to continuous improvement and a collaborative environment are key features of this position.

Job description

Machine Learning Research Engineer - 5490, Cambridge

Client: Cambridge University Press

Location: Cambridge, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: acc9d9706dc1

Job Views: 7

Posted: 12.08.2025

Job Description:

Ready to pursue your potential?

Apply now.

We review applications on an ongoing basis, with a closing date for all applications being the 1st of September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the website for guidance to understand your own eligibility based on the role you are applying for.

Why join us

Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers, and researchers across the globe – for the benefit of individuals, society, and the world. Sharing our mission will inspire your own growth, development, and progress, in an environment which embraces difference, change, and aspiration.

Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity, and sexual orientation), cultural, or social class/background.

We believe better outcomes come through diversity of thought, background, and approach. We actively seek to employ people from all backgrounds and communities.