Job description Job Description: We are currently seeking a skilled Handyman to join our team at Everest Maintenance. The ideal candidate will be responsible for a variety of tasks, including basic plumbing, basic electric work, carpentry, and decorating. The Handyman will primarily work in residential properties, going into tenants' flats/houses to address maintenance and repair needs. Responsibilities: Perform basic plumbing, electric work, carpentry, and decorating tasks. Work independently and occasionally as part of a team. Ensure safety protocols are followed, especially when working with electricity. Respond to emergency or after-hours calls when available. Track and maintain accurate time sheets. Utilize standard tools for maintenance and repair work. Qualifications: Medium level of experience and expertise. Valid driving license. Ability to communicate effectively. Availability for emergency or after-hours calls is a plus. Work Environment: The Handyman will primarily work in residential properties, ensuring the safety and satisfaction of tenants. Communication within the team and with clients is facilitated through WhatsApp or our program. Company Culture: We value honesty, communication, and excellence in our work. There are opportunities for career advancement within the company. Assessment and Feedback: Performance assessments and feedback are conducted over phone calls. Application Instructions: If you meet the qualifications and are interested in joining our team, please submit your resume and a brief cover letter detailing your relevant experience. We look forward to reviewing your application. Note: This position offers growth opportunities and a chance to contribute to our team's success. We appreciate your interest in becoming part of Everest Maintenance. Job Types: Full-time, Freelance Benefits: Company car Flexible Language Requirement: English not required Schedule: Day shift Monday to Friday Supplemental pay types: Bonus scheme Experience: Maintenance: 3 years (required) Licence/Certification: Driving Licence (required) Ability to Commute: London, Greater London (preferred) Work Location: On the road Application deadline: 01/03/2024 Reference ID: REF 1098 Expected start date: 28/02/2024
The maintenance engineer is a hands on tole responsible for the efficent, safe and timely upkeep of building systems and infrastructure. This multi-skilled position involves carrying out both planned and reactive maintenance taks across electrical, mechanical, plumbing and carpentry disciplines.
We are a trusted local garage with a strong reputation for quality vehicle repairs and maintenance services. Proudly serving the community for 15 years, we handle everything from routine servicing to complex mechanical repairs for a wide range of vehicles. We are currently seeking a skilled and reliable Car Mechanic & Vehicle Maintenance Technician to join our friendly team. This hands-on role is ideal for someone who thrives in a busy workshop environment and takes pride in delivering top-notch service. Key Responsibilities: Diagnose mechanical and electrical faults in vehicles Perform routine servicing, MOT preparations, and general maintenance Carry out mechanical repairs including brakes, clutches, suspensions, and engine work Maintain a clean, safe, and organized workspace Liaise with customers and provide clear explanations of issues and repairs when needed Requirements: Proven hands-on experience in vehicle mechanics and maintenance (minimum 2 years preferred) NVQ Level 2 or 3 in Vehicle Maintenance and Repair or equivalent qualification (preferred) Strong diagnostic and problem-solving skills Full UK driving licence Ability to work independently and as part of a team What We Offer: Competitive salary based on experience Ongoing training and development opportunities Supportive and down-to-earth team environment Flexible working hours can be considered Employee discounts on services If you're passionate about cars and committed to high-quality work, we’d love to hear from you! To Apply: lease send your CV and a brief cover letter to us or drop it off at the garage in person.
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)
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.