Machine Learning Engineer

Contract: Permanent
Salary: DOE

The Company

We are a technology firm with offices in London and Manhattan, dealing with great clients across the globe. Our product uses artificial intelligence techniques to capture data from unstructured documents such as pdf. Our parsing technology provides efficiencies to repetitive tasks which would normally require the time-consuming manual extraction of data.

The Role

As a machine-learning engineer, you will have solid experience in building machine learning models. You will need to have the ability to design and deliver solutions to unique problems and be ready to keep up to date in dynamic domain. The role is fully remote with opportunity to work on site.

You will need to be able to efficiently prioritize tasks and manage your time. Good mathematical skills with problem solving and logical thinking are required for this position. Quick learning, enthusiasm for technology and a proven track record in delivering solutions is also desired. You will need to own performance and stability of your code.

You will be able to work well in a team, on top of working efficiently on your own. We are developing state of the art models in computer vision, NLP and other domains, as well as integrating with new innovative frameworks as needed.

Essential Skills

  • Python
  • Neural Nets
  • TensorFlow, PyTorch or similar platforms
  • NumPy and Pandas
  • Basic Statistics

Desirable Skills

  • Amazon Web Services (AWS)
  • NLP
  • Knowledge of .NET development using C#
  • SQL

Candidates should be able to start within four weeks and be eligible to work in the UK without visa sponsorship. A valid passport is required as the role may require overseas travel. This is a fantastic opportunity for someone looking to join a successful and supportive company that is committed to the training and development of its employees.

Apply for this role

If you are interested in being considered for the role, please  email your up to date CV and cover letter to Simon Long, Lead Talent Acquisition Manager.