Full-Time Senior Applied Scientist
Onfido Ltd (UK) is hiring a remote Full-Time Senior Applied Scientist. The career level for this job opening is Senior Manager and is accepting UK based applicants remotely. Read complete job description before applying.
Onfido Ltd (UK)
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
Role Description We are looking for a Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence. Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks. Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents.
Qualifications Strong 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. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands-on experience using at least one of the deep learning frameworks TensorFlow or PyTorch.
Requirements Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.