London, UK

Machine Vision/Deep Learning Scientist

Develop cutting edge scalable machine vision capabilities to save lives and reduce emissions


Valerann is a fast-growing Smart Cities startup, based in London and Tel Aviv. We work with the world’s largest infrastructure operators to transform roads into data-generating assets. Through our work and partnerships, we look to reshape the way operators use data to make traffic safer, more efficient, and support autonomous vehicles. If you want to be part of a dynamic and award-winning start-up and help shape the future of mobility - join Valerann!

We are developing a traffic management solution that is based on a unique vehicle-level data fusion. We ingest streams of data (IoT, Video, Social feed) into our AWS cloud environment; we run machine learning algorithms to identify various traffic issues and feed them back in real-time to vehicles and traffic control centres. We have made huge progress, but we need your help to move to the next level.

Our London-based team is looking for an experienced machine vision engineer. Your primary focus will be analysing real time feed from hundreds of cameras, detecting and predicting traffic issues to help save lives, reduce congestion and decrease emissions.


Proven experience that we are looking for:

  • Image and video processing (preferably in real time) using both traditional image processing techniques and modern deep learning algorithms
  • Designing complex convolutional networks with either TensorFlow or PyTorch
  • Research and development in Python using libraries such as OpenCV, Numpy, Scikit-learn
  • Developing production-ready, optimised, high-quality machine learning code
  • Implementation of deep learning algorithms on real-world vision projects. (e.g. object detection, multiple object tracking, etc.)
  • Software development, data science and testing tools such as Github, Jira, Jupyter, Unittest etc.

You should:

  • Have relevant academic background with theoretical and practical background in image processing and deep learning
  • Enjoy to work in a start-up environment: working in a small Agile team, and taking initiatives
  • Be eligible to work in the UK without a sponsorship

Interview process

  • Initial 30 minutes introduction where we will learn more about your professional background and experience. This will also let you understand the role and what we are looking for.
  • One hour pair data science task. You and one of our team members will work together to solve/discuss a data science challenge.
  • Final interview with one of our company’s founders.
  • All interviews will be held remotely.

Location: London/Camden (flexible working is an option)

To apply please send your CV to:


*The company is an equal opportunity employer


To apply please send your CV's to: