Machine Learning Engineer

Job Title: Machine Learning Engineer Company: YOTI Job Category: Machine Learning Roles & Responsibilities: More about the Team and the Role This role is part of our internal R\&D team, working on innovative projects in computer vision, deep learning, and face biometrics. Some of the work the team is doing includes developing our in\-house facial age estimation model, our facial anti\-spoofing models and other AI\-driven solutions. Working Arrangements: This will be a hybrid role and you will be expected to work from our Aldgate office atleast 1 day a week. Responsibilities * Build upon our existing preprocessing system to add functionality for new data modalities, and automation of data preprocessing tasks in Python and SQL. * Manage large scale datasets, ensuring data integrity, quality and usability for research initiatives. * Collaborate with research scientists to establish efficient experimentation and model training workflows. * Develop tools that accelerate experimentation and streamline research processes. * Support model evaluation conducting regression and performance tests to ensure model reliability and accuracy. * Monitor and troubleshoot data pipelines, ensuring smooth operation and timely delivery of research data. * Document data workflows, best practices, and technical solutions to ensure knowledge sharing and reproducibility. * Collaborate with product teams to identify and implement data\-driven solutions to business challenges. * Ensure compliance with data governance policies and security best practices. * 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

We’re seeking a mid level Machine Learning engineer with 2\-0-2 years of experience working with a similar tech stack. You will be responsible for preparing, optimizing, and organizing large\-scale multimodal datasets for deep learning, including building pipelines for image and video processing. This is a fantastic opportunity to work alongside experienced researchers in a fast\-moving and innovative environment. * Proficiency in Git, Python, and a strong understanding of SQL for relational databases. * Solid understanding of common data structures and algorithms. * A good grasp of computer architecture and the core concepts of parallel and distributed programming. * Excellent problem solving skills. * A genuine interest in mathematics and statistics. * Familiarity with computer vision and image processing * Experience with: * Linux command\-line and scripting * Docker * Git * Relational Databases * Automation * Knowledge of at least one deep\-learning framework, preferably PyTorch. * Experience working with multiple tensor framework formats, e.g. ONNX, CoreML. * Experience working in a dynamic environment within a research team. * Knowledge of cloud based ML tooling and data processing. Interview Process * 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, PyTorch, Model Training, Computer Vision Salary: GBP 60000 - 70000 per yearly