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

£20000–£23000 yearly

Location: London Company: Planet Neon At Planet Neon, we specialise in creating high-quality, custom LED neon signs that enhance the ambiance of homes, venues, and businesses. We are committed to delivering unparalleled customer service and after-sales care, ensuring every customer has a seamless and satisfying experience. As we continue to grow and innovate, we invite you to join our team and help bring our unique products to life. Job Description: As an Entry-Level CNC Machine Operator, you will be responsible for operating and maintaining industrial machinery to carve custom LED neon signs. You will work with a variety of materials, including acrylic sheets, and be involved in all aspects of the CNC process, from machine set-up to final inspection. Key responsibilities include: Loading and unloading acrylic sheets (8mm and 10mm) for sign production. Fitting and adjusting tools for machine operation. Setting up and calibrating equipment and accessories to ensure optimal performance. Translating part drawings into measurements for production. Inspecting workflows to meet technical and quality standards. Developing efficient work plans to complete daily machining tasks. Skills Required: Basic knowledge of CNC machine operation or a strong interest in learning (training will be provided). Ability to read and interpret CAD files (training will be provided). Strong attention to detail and commitment to delivering high-quality work. Ability to work well in a team-oriented environment. Basic computer skills and a willingness to learn CNC software (CAD). Problem-solving skills and the ability to troubleshoot basic machine issues. Qualifications: No prior CNC experience required, though a background in design, engineering, or carpentry is advantageous. Technical or vocational training in manufacturing, engineering, or a related field is preferred but not essential. GCSEs or equivalent qualification in Maths, Design Technology, or Engineering is beneficial. What We Offer: Full training and development in CNC operations and manufacturing processes. The opportunity to work on high-profile projects for global brands. A supportive, creative work environment with opportunities for growth. Competitive salary and benefits package.

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

5 days ago

Full-time

London

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.

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