Machine Learning Intern


Our goal is to weave AI into everything that brings benefit to mankind. Large corporations as well as individuals stand to benefit from the adoption of AI in their workflows but adoption has been too slow the main reason being limited access to expertly curated data for most applications.  

To build a single AI application, one often needs tens of thousands of curated datapoints, which is expensive to generate, and downright not available for many applications. We solve this bottleneck with the DeepMirror engine that decreases data curation by 100x. You can be part of our plan to scale our platform to allow our clients to grow AI across a multitude of applications. 

Founded in 2019 by two interdisciplinary scientists at the University of Cambridge, DeepMirror just completed its first financing round backed by UK-based angel investors to get going. We are now building an MVP web platform for image analysis with a heavy focus on biomedical data and are scoping further applications of our technology.  

About the Position

We are looking for a machine learning intern to create new and ambitious implementations of our technology for image analysis, drug discovery, & natural language processing. You will learn about our cutting-edge training algorithms and MLOps platform, and improve upon them e.g. through novel AI architectures.  

This is a creative task as much as a technical one, as you will be continuously driving innovation along with the rest of the team. If you share our vision of creating on-demand production ready AI and an enthusiasm for start-up culture (friendly atmosphere, not having to fit in a box), we are the right place for you. The internship is for 3 months with the potential of moving to a full-time position. 

Your Job

You will … 

  • Integrate our technology into different AI frameworks 
  • Create new applications of our tech 
  • Work closely with the founding team to iterate and scale our platform 
  • Work remotely or in person 

Required skills

  • Great communicator and able to integrate in a team 
  • Flexible & independent working style befitting a rapidly changing and non-hierarchical work environment 
  • Very good Python skills 
  • Experience with Pytorch 
  • Familiar with common Deep Neural Network architectures 

Bonus skills

  • DevOps & MLOps experience (Docker, AWS, clearML …) 
  • Industry experience 
  • Degree in Computer Science or related field 
  • Start-up / entrepreneurial experience 


  • Competitive pay
  • Flexible working

How to Apply

Please send us an email at with:

  • Your name
  • Your LinkedIn profile
  • Your CV + Cover letter

Additionally, we would ask you to do the following quiz to help us understand your current skillset: 

We hire talented people from all backgrounds, because it’s the right thing to do and makes our company stronger. We especially invite applications from underrepresented groups