Junior Machine Learning Research Engineer - 5783

Join Cambridge University Press & Assessment as a Junior Machine Learning Research Engineer.

Job Title: Junior Machine Learning Research Engineer

Salary: £40,830 – £53,085

Location: Cambridge – Triangle / Hybrid (2 days per week in the office)

Contract: Full Time / Permanent (35 hours per week)

As a Junior Machine Learning Research Engineer, you will drive innovation and advance AI‑powered solutions that enhance Cambridge English products. You will help develop, deploy, and maintain cutting‑edge AI capabilities that drive the success of our products and services.

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• Help develop, deploy, and maintain scalable AI‑powered solutions for Cambridge English products.
  
• Optimize and modularise models for reusability and performance.
  
• Collaborate with product, validation, and business teams to transform capabilities into impactful product features.
  
• Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI‑driven assessment and learning.
  
• Plan, prioritise, and manage own tasks aligned with business objectives.
  

To thrive in this role, you’ll have a passion for AI‑driven innovation and the ability to turn ideas into scalable solutions.

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• First class Bachelor’s or Master’s degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component.
  
• Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimisation, modular design, and efficiency.
  
• Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow.
  
• Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement.
  
• Excellent communication skills.
  
• Demonstrable commitment to continuous learning, staying current with state‑of‑the‑art research and applying emerging AI techniques.
  

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• Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross‑functional projects.
  
• Industry experience applying ML to real‑world problems.
  
• Experience applying machine learning to educational assessment and learning solutions.
  
• Hands‑on experience with large language models or foundation models, including fine‑tuning and adapting models for specific, production‑level applications.
  
• Knowledge of software DevOps practices, including experience with CI/CD pipelines, containerisation (e.g. Docker, Kubernetes), and cloud deployment on platforms like AWS.
  
• PhD (or equivalent) in machine learning or AI/computer science.
  
• Exposure to research‑oriented work or contributions to open‑source projects in the AI domain.
  
• Internship experience in AI/ML.
  
• Experience contributing to patents or academic papers related to ML.
  

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• 28 days annual leave plus bank holidays.
  
• Private medical and permanent health insurance.
  
• Discretionary annual bonus.
  
• Group personal pension scheme.
  
• Life assurance up to 4× annual salary.
  
• Green travel schemes.
  
• Flexible and hybrid working options from day one.
  

To maintain a fair recruitment process, applications are accepted only via our online careers page. Applications emailed directly to the recruiter may not be received by the hiring team. We will review applications on an ongoing basis with a closing date of 5th January 2026. Interviews will be scheduled as deemed suitable after the closing date.

Cambridge University Press & Assessment welcomes applications from people from all backgrounds and communities, actively seeking to employ a diverse workforce. We consider flexible working arrangements and accommodations for disabilities. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route.

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