Buscar empleo: 50 ofertas de trabajo de electrical estimator en London (junio 2025)

Maintenance Electrician Job Role: On the road reactive maintenance position with company van and fuel card provided. (Tools are not provided, hand tools and power tools are a must) testing equipment will be provided if needed. Standard working hours are 08:00 - 17:00 (Punctuality is crucial, lateness will not be tolerated) You are expected to wear company uniform without fail and be smart, well groomed and tidy. You will be expected to complete all jobs in diary each day to a good standard and submit a report in relation to what was done and job notes in relation to what needs to be done to complete with a time estimate and a materials list. We generally work on a estimate basis. We give our clients estimates on how long we believe the job will take. Your job is to try to get as close to the estimate 'within reason'. All jobs are to be carried out with use of dust sheets and are to be left spotless upon completion. We do not rush! We take our time 'within reason' and provide the best quality service we can. Any holes we make we patch and fill. You will be given a company van and company uniform, this is to be looked after and kept clean. We take pride in our appearance and reward will be given for this. Our work is vast in small works of no-complication to full re-wires but we are looking to grow and grow with a skilled team of great engineers. We are also looking at the possibility of introducing other company benefits later down the line as we want the best engineers and we want to look after them along the way. We are a small company and cover various client types from direct domestic to estate agents and are looking for motivated, well spoken tidy workers to join the team! Job Type: Full-time Pay: £18.00-£25.00 per hour Expected hours: 40 – 45 per week PAYE Basis (holiday and pension contributions)

¡Incorporación inmediata!

Inscripción fácil

Rival

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

hace 2 meses

Jornada completa

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.

¡Incorporación inmediata!

Sin experiencia

Inscripción fácil

Trabajos electrical estimator en LondonCrear alertas

Búsquedas de empleo más populares en London

Lugares de trabajo electrical estimator más populares