Machine Learning Scientist - RCYTHQ0040

  • Technology
  • Cambridge, United Kingdom

Machine Learning Scientist - RCYTHQ0040

Job description

Cyted's mission is to revolutionise diagnostic methods to build a world where disease is prevented rather than treated. We focus on providing digital diagnostic infrastructure to drive the earlier detection of disease. Our technologies use artificial intelligence and novel biomarkers to unlock clinical insight and improve patient outcomes.
The Cyted group develops and deploys digital diagnostic services for research and clinical use. Our services are designed to dignify and empower, placing patients at the heart of our services. 

The Machine Learning Scientist will play a crucial role in building new systems to provide medical insights and manage diagnostic workflows. The technologies will include unique new machine learning technology, highly scalable online services and web/mobile apps. The Machine Learning Scientist will be part of a team responsible for developing our cloud-based diagnostics platform, as well as rapid prototypes and proofs of concept.  The Machine Learning Scientist will plan and scale deep learning technologies for medical data with a focus on images, and interested in expanding your skills


  • Building reusable code and libraries for future use
  • Designing and delivering new platform capabilities
  • Validating and deploying machine learning models developed in Python with packages such as PyTorch and TensorFlow
  • Integrating with cloud APIs and data services
  • Taking part in Agile and Continuous Improvement processes
  • Contributing to the culture of our inclusive and enthusiastic team

Working pattern, location and salary:

The role is a full-time position with a standard 37.5 hour working week. The role holder may be required to work flexibly.

The Machine Learning Scientist will be based at the Cyted’s Head Office, WeWork, 50-60 Station Road, Cambridge, CB1 2JH and may need to visit other company sites if and when required.

Competitive salary.


  • 25 days holiday per holiday year, excluding public holidays
  • Pension scheme
  • A knowledgeable, high-achieving, experienced and fun team
  • The chance to be part of a growing start-up, the next leader in building integrated diagnostics by combining molecular biomarkers with digital solutions
  • Perks at work scheme
  • Free refreshments

Job requirements

Qualifications and background:

  • An academic background in statistics, machine learning or bioinformations, ideally a minimum of 3 years’ experience.


  • Experience of feature extraction, correlation and pre-processing from a range of data sources including digital pathology 
  • Collaboration and version control using Git 
  • Experience of modern CI/CD tools 
  • Experience with AWS 
  • Knowledge or experience working with medical services or products (desirable)

Knowledge, skills and abilities:

  • Knowledge of statistics and machine learning, including deep learning
  • Knowledge of Python, including experience in Python 3
  • Excellent problem-solving, analytical and troubleshooting skills 
  • Can work independently to move projects forward 
  • Self-starter capable of planning and scaling deep learning technologies for medical data with a focus on images, and interested in expanding your skills

Please contact if you have any questions in relation to this role.