Machine Learning Engineer (Ops, Cloud, NLP)

Machine Learning Engineer (Ops, Cloud, NLP)

  • Location

    London, England

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    £65000 - £75000 per annum + stock + benefits

  • Contact:

    Anna Heneghan

  • Email:


  • Job ref:


  • Published:

    2 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Machine Learning Engineer (Ops, Cloud, NLP)

London Office - Currently working from home.

We are currently looking for a Machine Learning Engineer (Ops, Cloud, NLP) to join our growing organisation based in central London. We are developing our product which will look to transform market research industry by utilising Machine Learning and Natural Language Processing.

As a Machine Learning Engineer you will get have the opportunity to advance the AI function and have complete ownership over the progression of projects and products, whilst helping to create new tools to help provide infrastructure and structure, large amounts of unstructured and messy data.

This Machine Learning Engineer will join the team during a period of significant growth, helping considerably influence our modelling program. As a Machine Learning Engineer, you will gain the opportunity to join us at an influential stage in our ambitious adventure to solve a huge industry challenge. This Machine Learning Engineer will need experience with Operations/Infrastructure and industry experience in Python programming.

What we can offer a Machine Learning Engineer (Ops, Cloud, NLP):

  • A hands-on role with the ability to lead your own projects
  • Competitve salary and flexible working environment
  • Rapid progression within the organisation
  • Work within a hybrid role

Key Skills: Machine Learning Engineer (Ops, Cloud, NLP); Machine Learning, ML, AI, Artificial Intelligence, Deep Learning, Natural Language Processing, Computer Vision, Neural Networks, Python, PyTorch, Infrastructure, Cloud, AWS, GCP, Amazon Web Services, Google Cloud Platform, Operations, DevOps, Engineer, Engineering, Developer, Development, Programmer, Programming, TensorFlow, DNNs, Publications, NIPS, CVPR, ICCV, AAAI, Computer Science, Market Research, Database, Databases, Autonomous, RPA