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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)

How about using your talent to save a life? In Lynxight we literally save lives by equipping pool lifeguards with an AI-based companion that's revolutionizing water safety. Our innovative technology enhances lifeguards’ response times and provides pool management with crucial operational insights, setting high standards in the aquatic leisure industry. With a growing global presence across renowned fitness, leisure, and hospitality sectors, and strategic partnerships aimed at advancing water safety, Lynxight is at the forefront of technological breakthroughs. Are you up for the challenge? Location: Remote (UK) Department: Operations / Customer Success Employment Type: Full-Time (day rate) About Lynxight Lynxight is a cutting-edge technology company specializing in AI-powered video analytics for aquatic environments. Our mission is to create safer, smarter, and more responsive aquatic facilities through intelligent surveillance systems and actionable data insights. We partner with public and private institutions globally to elevate safety standards and operational efficiency. Role Overview We are seeking a highly motivated and technically skilled Technical Support Engineer to join our growing team. As the first point of contact for our UK clients, you will be instrumental in diagnosing and resolving technical issues, supporting the smooth implementation of projects, and maintaining the high standards of customer satisfaction Lynxight is known for. This role requires a proactive and solution-oriented mindset, a self-starter with excellent communication skills, and the ability to troubleshoot complex hardware-software systems in real time. Key Responsibilities · Play a crucial role in delivering hundreds of parallel implementations for a diverse range of customers. · Support the remote technical teams to diagnose, troubleshoot, and resolve technical issues with existing sites and those in the project delivery phase. · Act as the primary technical in-person liaison for UK-based clients and partners. · Develop the technical skills required to deputise for the implementation engineers as required. · Support customers through system setup, calibration, and routine maintenance procedures as required. · Participate in the development of support and implementation best practices and knowledge base content. · Directly reporting to the Head of UK Customer Operations. Qualifications / skills · 2+ years of experience in technical support, IT, or a related technical customer service role. · Strong technical background in IT, with knowledge of hardware, software, and networking. · Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (preferred). Equivalent experience and qualifications would be considered. · Proficiency with Windows/Linux operating systems and command-line tools · Excellent problem-solving and analytical skills. · Customer-focused attitude with a commitment to providing exceptional service. · Self-motivated with the ability to work independently and manage multiple priorities. · Ability to travel frequently and work on the road, including overnight stays. · Previous experience working with international teams or startups an advantage · Proven right to work in the UK. What We Offer · Longterm contract. · Remote-first work culture with flexibility. · Opportunity to work with a mission-driven, fast-growing team at the intersection of AI and public safety. · Career development opportunities and direct involvement in shaping customer success strategies. If you love tech and people, excel at juggling multiple challenges at once, and are eager for a place where you can truly grow—then you belong with us!

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.

We're a young and emerging education consultancy based in London. We help young people and professionals alike to reach their academic goals. We specialise in professional orientation tests for young adults, helping with university choice, enrolments and student finance. We're looking for a new team member who will help us target the Romanian community in London and across the major UK hubs. The job will require him/her to: - Run the CRM with leads and candidates' information - Provide telephone consultations - Check candidates' documents and prepare applications - The position requires a candidate to be proactive in search of potential students - Keep social media accounts updated You will undergo a two-week training with our team members to gain a deep understanding of the services we provide prior to engaging with potential candidates. Job address: The Engine Room, Battersea Power Station Circus Road West, Nine Elms, SW8 5BN, London, England, United Kingdom

We're hiring for a Senior Software Engineer within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact financial performance. You'll be working closely with researchers, helping maintain trading infrastructure, and helping the team scale and improve the systems at the heart of the business. You'll be working on data pipelines, build, support systems and infrastructure. A very wide ranging role requiring extensive experience across multiple technologies. The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to design and implement tooling and systems in a way you feel would be best suited to the problem at hand. A strong knowledge of operating systems, networks, software architecture and practical experience in deploying that knowledge is essential. We are a hybrid working company, with staff coming into the office in London every Thursday, plus any other days they like, working remotely at home the rest of the time. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. We're targeting Senior Developers for this role, ideally with several years of experience in mission-critical systems where precision, reliability, and fault tolerance are paramount. Our interview process is as follows: - A brief screening call to give you some more information about the role, answer any of your initial questions and to check your suitability for the role. - A 60 minute technical interview with our CTO and/or Team Lead, discussing your previous experience and also discussing some systems design challenges and how you'd approach them - A collaborative coding assessment day, working with one of our team on some sample problems. This isn't leetcode, it's more about systems design and your approach to tradeoffs. This will last from 10am until 4pm UK time. - An in person "meet the team" at our London office. Requirements At least one, ideally both of: - A degree in a technical subject from a top university demonstrating your ability to grasp and apply complex concepts. - Several years of senior-level experience in teams building mission-critical systems where precision and reliability are essential to success. Demonstrated professional expertise in the following areas: - Fluency in multiple programming languages, with substantial experience in Python as a priority. - Development and maintenance of Continuous Integration (CI) pipelines. - Complex deployments on AWS - Docker or comparable containerization technologies. Nice to have experience: - Experience using numpy/pandas/torch/etc - Experience with Golang Benefits Our salary range for the role is £40,000 to £80,000, depending on experience and interview performance. List of benefits: - Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience. - 10% matched pension contributions - Private healthcare insurance - Long term illness insurance - Gym membership - Choose your own hardware & setup for your development environment.