Senior Research Scientist

Job Title: Senior Research Scientist Company: YOTI Job Category: Machine Learning Roles & Responsibilities: Purpose of the Role: To work on projects in the fields of Computer Vision, Machine Learning and Deep Learning Role Dimensions: Reports to Head of R\&D / CTO; within R\&D team. Working Arrangements: This will be a hybrid role and you will be expected to work from our Aldgate office atleast 1 day a week. Principal Responsibilities: * Maintain an expert level knowledge of the related academic literature on large scale classification with deep learning and being up\-to\-date with recent advances. * To implement academic papers into functional prototypes. * Mentoring of junior R\&D team members on technical aspects, reviewing merge requests and assisting in the debugging of issues that can occur during model development. * Presenting the evaluated performance of models to people outside the R\&D team, i.e. to people in other teams. * A solid working knowledge of the Linux command line * Working with Docker, and the ability to create new docker images for specific use cases * The ability to work independently on the technical aspects of a self\-contained project, e.g. being able to develop a model from the specification for that model through to doing a thorough analysis of the trained model Stage 2 : Call with the hiring manager (45 minutes) * Hybrid Working: Enjoy the best of both worlds with a blend of home working and time spent in our central London, dog\-friendly office. * Core Working Hours: We focus on outputs, not clock\-watching. Our core hours support the flexibility you need for a genuine work\-life balance. * Work from Anywhere: Want a change of scenery? Take advantage of our policy to work remotely from abroad for short periods. * Generous Annual Leave: 25 days holiday as standard, plus your Birthday Off to celebrate properly. * "Yotiversary" Days: Loyalty rewarded \- earn up to three additional paid days off based on your length of service. * Enhanced Parental Leave: We support growing families with up to six months’ fully paid maternity leave, 2 weeks of paid paternity leave plus a further four weeks of enhanced flexibility and time off, and enhanced parental provisions. Feel free to ask for more details! * Wellbeing Support: Access to trained, in\-house Mental Health First Aiders whenever you need a confidential chat, plus a fully comprehensive Employee Assistant Program. * Personal Development Budget: A dedicated, individual training budget to spend on your professional growth, plus quarterly YOTI Afternoons dedicated entirely to your professional development. * “Selfie Time": Paid time off every year to focus on volunteering, charity work, or personal passion projects. * Matched Fundraising: Double your impact \- we match charitable fundraising contributions made by our team. * Unpaid Sabbatical: Career breaks available for long\-term travel or personal resets after continuous service. This is a great opportunity to join a company that is leading the way for innovative and responsible identity verification. We’re looking for people who can adapt to a fast\-paced environment, as well as champion our brand and what we stand for. We value a positive attitude and people who have a collaborative, creative and transparent approach to solving problems. For more information about how we manage your data please read our Applicant Privacy Notice. Work Location: London, ENG, UK Availability: Full time

Knowledge, Skills, Qualifications and Experience: Interview Process: Stage 3 : Coding Interview * Comprehensive Health Cover: Private medical insurance that includes full dental and optical care via Aviva. * Enhanced Pension: After three years of service, we offer to enhance your employer pension contributions to help you secure your future. * Enhanced Sick Pay: You’ll have eight days of Sick Pay each calendar year, for both mental and physical health issues. * Life Assurance: Peace of mind for you and your loved ones with our company\-funded life assurance policy. * Electric Vehicle Salary Sacrifice Scheme: Drive a brand\-new electric vehicle and save up on lease costs by paying directly from your gross, pre\-tax salary. * Cycle to Work Scheme: Save money on a brand\-new bike, e\-bike, or safety equipment through tax\-free salary deductions. Please read our AI Usage in Recruitment policy to know more about how Yoti uses AI in the recruitment process and our stance on how candidates can use AI during the interview process. It takes a diverse community of passionate, talented and committed people to build a simpler, more secure way of proving identity. We’re an equal opportunity employer, so we welcome applications from people of all backgrounds, with different outlooks and experiences. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Computer Vision Salary: GBP 100000 - 110000 per yearly