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Machine Learning (ML) engineer

RemoteUnited Kingdom, , LondonDevelopment

Job description

The Company:

WithU is an audio fitness app available on iOS and Android globally. Our app delivers over 1000 workouts, with 18 coaches, across 14 disciplines and is accessible at home, in the gym or on the go.

Due to our continued growth we now have an exciting new role for a full-stack Flutter developer to join our engineering team and contribute towards the development of our cross platform mobile app.

You will be joining our engineering team, working with developers, product managers and designers to add new features and updates to our mobile app.

Job Details:

Working hours - Full time 9.00-5.30pm Mon-Fri

Location - Fully remote but must be located within the UK and willing to travel to London for monthly company meetings (approximately once per month).

Equipment - Macbook pro laptop.

Perks - Health insurance, enhanced maternity/paternity cover, monthly cash prize up for grabs

Holidays - 25 days + your birthday

About the role:

We are looking for a Machine Learning (ML) engineer to join our growing ML team who is working on creating technology to understand exercises via camera input and correct in real time. 

You will be working closely with our development & content team to produce models that will form the basis of our new interactive exercise product. 

Job requirements

As a Machine Learning (ML) engineer,

  • you will work on modelling different types of exercises.
  • you will be responsible for building and deploying ML models.
  • you will work on modelling exercise using synthetic data.
We are looking for
  • Relevant background: you have a relevant expertise in the area of computer vision and machine learning
  • Knowledge: Familiar with the application of deep learning (CNN, RNN, LSTM) and ML algorithms on image and video data.
  • Software skills: Python, Tensorflow
  • Ability to work with minimal supervision
Desirable to have
  • Hands-on experience using the MediaPipe Python package.
  • Experience of working in R&D environment.
  • Familiarity with AWS Sagemaker, Dockers, Pytorch
  • Strong understanding of software development practices (Agile/Scrum, CI/CD)


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