Buscar empleo: 332 ofertas de trabajo de full time amazon en London (junio 2025)

Duties and Responsibilities: · Oversees the smooth running office operation and help the office to achieve outstanding service to the clients. · Manage the on boarding process for new clients, ensuring a seamless transition and service confirmation. · Organize and schedule meetings, appointments, and travel arrangements for consultants. · Track project timelines and deliverables for e-commerce setups, ad campaigns, etc. · Prepare reports, presentations, and documentation for consultancy projects. · Ensure smooth communication between teams and external partners. · Foster a positive office culture that encourages teamwork and open communication. · Coordinate with the finance team for payroll, vendor payments, and budget monitoring. · Compile reports (Google Analytics, Facebook Ads, Amazon Seller Central) for review. · Maintain organized digital filing systems (Google Drive, Dropbox, SharePoint). · Ensure compliance with company policies, industry regulations, and health and safety standards. · Maintain office supplies, equipment, and facilities. · Assist in basic bookkeeping, invoicing, and expense tracking. · Manage new inquiries to client onboarding and service confirmation. · Recruit, On-board tasks and train new administrative staffs. · Assist in business development activities (e.g., organizing seminars, client meetings). · Act as a liaison between staff and senior management. · Implement and improve office policies to enhance productivity. · Work closely with management to streamline processes for business growth. ** Skills, Qualifications/Experience** · Strong organizational & multitasking abilities · Proficiency in MS Office & office management software · Excellent communication & interpersonal skills · Problem-solving & decision-making capabilities · Knowledge of basic accounting & HR practices

St. John's Wood, Westminster

🏡 Full-Time Housekeeper with Cooking Skills We are seeking a reliable and experienced full-time Housekeeper with the ability to prepare healthy meals. This is a long-term position. Responsibilities include general cleaning, laundry, and preparing healthy meals. Must have proven experience and references. Should be skilled in caring for different fabrics, including delicate items, with strong attention to detail. Key Responsibilities - Perform daily housekeeping duties: hoovering, mopping, dusting, wiping surfaces, and cleaning bedrooms, bathrooms, kitchens, and living areas. - Handle laundry and linen care, including light ironing and wardrobe organization. - Maintain tidy and well-organized storage areas, cupboards, and wardrobes. - Monitor and manage household supplies: track cleaning products and toiletries, restock items as needed. - Receive deliveries (e.g., Amazon, grocery orders, Deliveroo). - Prepare healthy, home-cooked meals as part of daily duties. Requirements - Previous experience as a housekeeper/cleaner or in a similar domestic role. - Ability to cook nutritious meals confidently and independently. - Strong attention to detail and excellent organizational skills. - Proficient in English. - Knowledge of proper care for various fabrics and delicate items. - Familiarity with a wide range of cleaning techniques and products. - Must have valid eligibility to work in the UK. Position Details - Location: Swiss Cottage, London - Employment Type: Full-Time - Schedule: 6 days per week, 8 hours per day - Salary: £15 per hour - Start Date: ASAP

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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.

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