Careers Machine Learning Research Engineer

Cambridge University Press & Assessment, Newtown, Cambridge

Careers Machine Learning Research Engineer

£48330-£62835

Cambridge University Press & Assessment, Newtown, Cambridge

  • Full time
  • Temporary
  • Onsite working

Posted 2 weeks ago, 11 Jul | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 3a26fc16eff24363b113e0d36e1155b8

Full Job Description

As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.,

  • 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.

    To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions., Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with substantial machine learning component
  • Proven hands-on industry experience (minimum 2 years, not including internships) 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 optimization, 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 like 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.
  • Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems.
  • Desirable:
  • PhD or equivalent qualification and experience in Machine learning or AI/Computer Science
  • Experience in applying Natural Language Processing and/or Speech Technology techniques to solve 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.

    Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge., 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 identity), cultural, or social class/background.

    We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including:
  • 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 x annual salary
  • Green travel schemes

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