Computer Vision Research Engineer

iProov is a world leader in spoof-resistant, biometric facial authentication technology. Its technology is used by banks, governments, healthcare and travel providers around the world to enable secure, effortless customer onboarding and authentication. This process ensures that new and returning users are genuine and can be trusted.

iProov has a head office in London Waterloo and is rapidly growing its business and teams with recently opened offices in Washington (US), and Singapore.

To support this rapid growth, iProov is seeking a highly motivated individual to join a busy London-based team providing support to the global business.

Join our fast expanding team as our new Computer Vision Research Engineer and contribute to our rapidly growing success.

Your future responsibilities

  • Conduct and manage research projects in the areas of computer vision, machine learning and biometrics
  • Work with our developers to see the products of the research turned into production code
  • Communicate research outcomes across the company
  • Contribute to the broader research strategy of the company

Your qualifications

  • A Masters or PhD in a numerate discipline such as computer science, engineering, computational neuroscience
  • You are experienced in machine learning and computer vision
  • You have strong mathematical ability
  • You have experience with at least one of Python, Mathematica, Matlab, C++

About you

  • You have good interpersonal skills and the confidence to state a clearly reasoned and articulated viewpoint
  • You should be happy to take initiative in your tasks and be relatively self-organising
  • You’re eager to ship releases and new features
  • You’re able and willing to debate to put forward improvements to processes


iProov offers a competitive salary. This role is offering up to £45,000 pa. The salary offered will be dependant on qualifications and experience.

iProov is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, age, disability, gender, gender reassignment, marriage and civil partnership, pregnancy and maternity, religion or belief, sexual orientation or veteran status.

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