Machine Learning Engineer (NLP, State-of-the-Art)

Machine Learning Engineer (NLP, State-of-the-Art)

  • Location

    London, England

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    company benefits

  • Contact:

    Anna Heneghan

  • Email:


  • Job ref:


  • Published:

    about 1 month ago

  • Expiry date:


  • Startdate:


  • Consultant:


Machine Learning Engineer (NLP, State-of-the-Art)

We are currently looking for a Machine Learning Engineer (NLP, State-of-the-Art) to join our growing AI function at the London office. We are developing ML products that will transform global connectivity and combine a multitude of areas in AI, all the way from Deep Learning to Natural Language Processing.

As a Machine Learning Engineer, you will get the opportunity to advance the AI function of the business and collaborate with the Machine Learning Research team on end-to-end deployment. This Machine Learning Engineer will have ownership over the progression and autonomy of projects and products, whilst helping to create new tools within an agile and flexible environment.

This Machine Learning Engineer you will gain the opportunity to join at an influential stage in our ambitious adventure to solve huge industry challenges. This Machine Learning Engineer will need strong experience in Python programming, alongside industry experience working in the area of ML.

What we can offer a Machine Learning Engineer (NLP, State-of-the-Art):

  • A hands-on role with the ability to have ownership over your work
  • Very competitive salary and flexible working environment
  • Rapid progression within the organisation whilst working on state-of-the-art technology
  • Work within a hybrid role and autonomous environment

Key Skills: Machine Learning Engineer (NLP, State-of-the-Art); Machine Learning, Python, ML, AI, Artificial Intelligence, Deep Learning, Natural Language Processing, Computer Vision, Neural Networks, PyTorch, Infrastructure, Cloud, AWS, GCP, Amazon Web Services, Google Cloud Platform, Operations, DevOps, Engineer, Engineering, Developer, Development, Programmer, Programming, TensorFlow, Recommender Systems, Recommendation Systems, NLP