Machine Learning Researcher

Company:  NearTech Search
Location: Oxford
Closing Date: 22/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
A client of mine in the South-East are looking for a ML Researcher in Computer Vision to join their small but mighty technical team as they take their product to the next level.They're a pseudo charity organisation, working with user groups around the UK, helping to improve lives and enrich daily communication. Having already prototyped and taken to market their core product, they're now looking for an ML Researcher to join their team.Key activities:Lead research in Computer Vision and LLMs, working with TensorFlow, Keras, and Stable Diffusion.Drive technical development alongside expert advisors and premier institutionsPublish research in top-tier journals, contributing to advancements in algorithms and transformer models.Collaborate on innovative use cases, helping shape the future of AI-driven video and image processing.The person joining should ideally come equipped with:A PhD - ideally around Computer VisionPyTorch/Keras/TensorFlowExperience with transformer modelsExperience in training models - particularly with images / videosThey have a really strong benefits package and are offering up to £100,000 for the right individual, including share and stock options!They have a succinct and agile interview process, allowing them to complete in as little as 2-weeks.The role is hybrid in Oxford; 2-days per week but can unfortunately not offer visa sponsorship.Reach out for a confidential chat around your next career move!
Apply Now
Share this job
NearTech Search
  • Similar Jobs

  • Senior Machine Learning Engineer (Computer Vision)

    Oxford
    View Job
  • Learning Coach

    Oxford
    View Job
  • Learning Support Assistant - Didcot

    Didcot
    View Job
  • Registered Manager Learning Disabilities

    Oxford
    View Job
  • Machine Learning Researcher

    Oxford
    View Job
An error has occurred. This application may no longer respond until reloaded. Reload 🗙