Research Scientist - Is AI fair?

Research Scientist - Is AI fair?

  • Location

    London, England

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    £90000 - £100000 per annum + + benefits

  • Contact:

    Anna Heneghan

  • Email:


  • Job ref:


  • Published:

    about 2 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Research Scientist - Is AI fair?

Are you going to help make AI fair for everyone?

Are you going to be part of the AI solution?

We are looking for a Research Scientist / Researcher to join a disruptive real-time, tech powerhouse, based in central London (with world wide offices!). This Researcher will be working to make sure the implementing of Machine Learning is ethically delivered. You will be part of a small team and make key decisions on how Artificial Intelligence is used moving forward.

This Researcher will be collaborating with their internal Research lab, alongside the surrounding Machine Learning Engineers. You will be using your prior Research experience in Machine Learning to contribute to some of the toughest industry dilemmas. Alongside this, you will get to see your Research implemented and delivered to the user base.

As a Researcher, you will need to have a PhD background (as a minimum) and comfortable within a Research focused role. Your research will have to be on a Machine Learning related topic (NLP, Reinforcement Learning, Vision etc.) and published papers are nice to have.

As an Research Scientist - Is AI fair?, you will be able to:

  • Work within an agile team, and collaborate with the brightest minds in AI
  • A competitive salary and company benefits
  • Work in a Research led environment, and be a key voice in the team
  • Quick progression and development

Key Words: Research Scientist (Machine Learning, Ethics); AI, Artificial Intelligence, Machine Learning, ML, NLP, Deep Learning, GANs, Deep Neural Networks, CNNs, Fairness, Ethics, Research, Scientist, Researcher, PhD, Post Doctoral, Research Fellow, Lecturer, Reinforcement Learning, ACML, NIPS, ICML, ICVPR, Publications, Conferences, Journals, Bayesian Inference, Generative Models