Machine Learning Research Engineer

Company: Cambridge University Press & Assessment
Apply for the Machine Learning Research Engineer
Location: Cambridge
Job Description:

Job Title: Machine Learning Research Engineer

Salary: £49,170 – £63,915

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

Contract: Permanent

Hours: Full Time (35 hours per week)

About the Role

A Machine Learning Research Engineer will drive innovation and advance AI‑powered solutions that enhance Cambridge English products. The role involves continuous improvement of existing models and development of cutting‑edge technologies to meet future business needs.

Responsibilities

  • Develop, deploy, and maintain scalable AI‑powered solutions for Cambridge English products.
  • Optimize and modularize 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, prioritize, and manage own tasks aligned with business objectives.

Essential Qualifications & Skills

  • Master’s degree (or equivalent qualifications) in machine learning or AI/computer science with substantial machine learning component.
  • Proven hands‑on industry experience (minimum 2 years) in designing, developing, and deploying machine learning solutions in production environments.
  • Advanced programming skills in languages such as Python with a strong focus on code optimisation, modular design, and efficiency.
  • Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow.
  • Demonstrated experience in building scalable, production‑grade AI services and automated data pipelines with tools such as Docker, Kubernetes, and cloud platforms (e.g. AWS).
  • Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement.
  • Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross‑functional projects.
  • Exceptional communication skills for articulating complex technical concepts to both technical and non‑technical stakeholders.
  • Commitment to continuous learning, staying current with state‑of‑the‑art research and applying emerging AI techniques to solve business problems.

Desirable Criteria

  • PhD or equivalent qualification in machine learning or AI/computer science.
  • Experience applying Natural Language Processing and/or Speech Technology techniques to real‑world problems.
  • Experience applying machine learning to educational assessment and learning solutions.
  • Hands‑on experience with Large Language Models (LLMs) or foundation models, including fine‑tuning and adapting models for specific, production‑level applications.
  • Contributions to patents or peer‑reviewed research publications in machine learning or related AI fields.

Rewards & Benefits

  • 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.

Equal Opportunity & Accessibility

We are a Disability Confident (DC) employer that is committed to equality and inclusion, ensuring our recruitment process is accessible to all. The DC scheme’s Offer of an Interview commitment applies to applicants who opt in, disclose a disability or long‑term health condition, and best meet the minimum criteria for the role. We are an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route.

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Posted: June 23rd, 2026