Staff Applied Scientist (Computer Vision / Machine Learning)

Onfido is a global technology company that connects people to the services they need by proving their identity anytime, anywhere. We are looking for a Staff Applied Scientist with expertise in Computer Vision and Machine Learning to join our team. This role involves designing and building AI-powered identity verification solutions, leading a team of applied AI scientists, and delivering high-performance ML-driven products. The ideal candidate will have extensive experience in machine learning and computer vision, strong coding skills in Python, and a track record of successfully delivering innovative technologies. Join us and help us build the future of digital identity.

• 25 days annual leave plus a day off for your Birthday.
• Two paid volunteering days per year.
• Bupa Private Medical and Dental Insurance.
• Life Assurance (3x Annual Base Salary).
• Pension with The People’s Pension (employer contribution 4% of base salary).
• Generous paid parental leave.
• Free mental health coaching provided online.
• Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy.
• Dedicated learning opportunities including using tools like Learnably with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more.
• Expense up to £300 (or local equivalent) to purchase workstation setup equipment.
• The opportunity to become a member of Onfido’s resource groups in order to learn different skills in our belonging groups.

• Extensive experience in machine learning and computer vision, including industry experience deploying ML models to production.
• Track record of successfully delivering high performance ML-driven products.
• Lead a team of machine learning specialists, working collaboratively with engineering and product management.
• Successfully mentored people and teams to achieve their full potential.
• Worked with customers to impactfully solve their problems.
• Deep understanding of machine learning theory.
• Good coding skills in Python and hands-on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.