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As Shift Supervisor at the Starting Gate, you’ll be on the front line with the team making sure everything runs like clockwork! You’ll make sure the team are ready for the shift and our guests are happy. Join us at Castle Pubs, where each one of our pubs has its own story to tell. Think urban pubs packed with personality, craft beers and a unique atmosphere. If you’ve got pints of personality, we want to hear from you. What’s in it for me? • Flexible shifts - to fit around the other important things in life • Love dining out? You'll love it even more with a massive 33% discount across all our brands. Whether its date night at Miller & Carter or family roast at Toby Carvery, we’ve got you covered. • Team Socials – work hard, play hard! On top of this, we offer a pension; 28 days paid holidAs Shift Supervisor at the Starting Gate, you’ll be on the front line with the team making sure everything runs like clockwork! You’ll make sure the team are ready for the shift and our guests are happy. Join us at Castle Pubs, where each one of our pubs has its own story to tell. Think urban pubs packed with personality, craft beers and a unique atmosphere. If you’ve got pints of personality, we want to hear from you. What’s in it for me? • Flexible shifts - to fit around the other important things in life • Love dining out? You'll love it even more with a massive 33% discount across all our brands. Whether its date night at Miller & Carter or family roast at Toby Carvery, we’ve got you covered. • Team Socials – work hard, play hard! On top of this, we offer a pension; 28 days paid holiday; high-street shopping discounts; and we even give you free shares! There's also a free employee helpline- to support you with whatever life throws at you. What will I be doing? As shift supervisor you’ll… • Be a champion of brand standards • Lead the team during busy shifts • Support and be a role model for your teams’ training and development • Support the day to day running of the busine

Based in Chiswick W4 > Hours - 35-40hrs per week - Weekdays & Weekends Salary - Starting at £12.21 - tronc Daily & service charge.Responsibilities: Demonstrate personality and warmth towards customers and colleagues and be an ambassador of Le Vacherin Keep an eye on tables and alert waiting staff if customers require assistance Arrange tables for large parties and prepare the restaurant floor Assisting in preparation for service Collaborate with waiting staff to ensure that tables are cleared, cleaned, and ready for the next party Assist in washing dishes if the kitchen staff fall behind during the busier times of the day Communicating any issues with the managers or supervisors. Demonstrating a positive approach to own role and teamwork and acting as a role model to new members of the team Personal Attributes & Skills Required: Confident in a busy, high-end environment Good communication skills / Attention to detail Enthusiasm to develop your skills and knowledge plus those around you Adaptability to change and willingness to embrace new ideas and processes Positive and approachable manner / Team player qualities Desire to advance their career with us at Le Vacherin and further develop within the team Career Development: Food Safety / First Aid / Health & Safety in the Workplace – Once the probationary period has passed, we will ensure that the employee has all the relevant training/study materials to complete all courses. Language & Personal Development Courses - We offer lessons and study materials in both English & French and a variety of Personal Development courses available to all staff members with all costs covered by the Company. Staff Perks Daily Meals On Duty 50% Employee Discount off Food Items for Family and friends

About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.