1000+ Best ai engineer Jobs in London (April 2025)

PhD Research Intern, AI-Powered 2D-to-3D Video Conversion

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.

Operations Manager – Design & Engineering Company (Hackney, London) We are seeking a highly organized and proactive Operations Manager to work directly with the founder of a dynamic design and engineering company specializing in hotels, serviced properties, events, and digital services for local councils. Role Overview Based at our workshop in Hackney (E8 2AA), you will oversee daily operations, ensuring seamless execution of projects using Trello and other management tools. As the company expands and develops new assets, you will play a key role in leading the team into its next phase of growth. Key Responsibilities Operational Management: Oversee day-to-day activities and workflow using Trello. Team Coordination: Assign tasks efficiently to capable team members. Process Optimization: Use Google Sheets, Docs, and basic AI tools to streamline operations. Resource Allocation: Ensure projects are well-resourced and meet deadlines. Communication: Maintain clear and professional communication with internal and external stakeholders. Requirements Minimum 2 years’ experience in an operations role. Proficiency in Google Sheets, Docs, and basic AI tools. Strong leadership skills to guide teams through new developments. A clean driver’s license and a professional, clear telephone manner. Experience working with both Mac and PC systems. Want to Learn More? If you're interested in researching some of our assets, check out: Komo Pods Hackney Why Join Us? This is an exciting opportunity to work directly with the founder in a hands-on role that influences business growth and innovation. If you thrive in a fast-paced environment and enjoy bringing structure to creative and technical projects, we’d love to hear from you! 📍 Location: Hackney, London (E8 2AA) 📩 How to Apply: Send me a brief description of your experience and we can go from there

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