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OtherComputer design jobs in LondonCreate job alerts
Are you a business? Hire computer design candidates in London
- Adaptive Ltd
CNC Machine Operator15 days ago£20000–£23000 yearlyFull-timeLondonLocation: 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.
Immediate start!No experienceEasy apply - Capital Brilliance Learning
No Qualifications Needed - Undergraduate Student22 days ago£26000 yearlyFull-timeWood Green, Haringey**WANT TO STUDY & GET PAID!? ** NEVER BEEN TO UNIVERSITY BEFORE.. At Capital Brilliance Learning, we help you access fully funded BA and BSc degrees through our trusted network of OfS registered university partners and agency bodies. Everything begins with our fast-track enrolment portal— **it's completely free! **and designed to make the start of your academic journey quick and effortless.. Once submitted, your profile is sent to multiple educational providers nationwide at the click of a button, and you're matched with one of our trusted referral guarantors who don’t just vouch for you—they handle your entire enrolment journey. That includes managing your Student Finance application from start to finish, ensuring it's submitted correctly and approved. All backed by a 98% success rate! Having a guaranteed referral through our partner agencies strengthens your application—especially if you’re applying without traditional qualifications or haven’t studied in a while. It also ensures you’re properly supported with funding and compliance. Degrees are available in fields like Accounting and Finance, Business Management, Computing, Project Management, Psychology, Criminology and Psychology, Health and Care Management, and LLB (Law). These are fully accredited BA or BSc programmes, often starting with a Foundation Year. The courses follow a blended learning model—just 8 hours of in-person classes per week across 2 days, alongside 25.5 hours of guided online learning. This format is ideal for people working, raising children, or looking for flexibility. Study centres are based in London (Ealing, Tower Hill, Holborn) as well as Manchester and Birmingham, giving you easy access to high-quality learning spaces. Your entire degree is fully funded through Student Finance England. You won’t pay to study—and depending on your situation, you could receive up to £19,000 paid directly to you, with a total support package of up to £26,000 per year. No hidden costs, no application fees—just real support to help you get into higher education and stay on track. APPLY HERE!
Easy apply - Ad Astra Network
Data Analyst1 month ago£2500–£5000 monthlyPart-timeLondonJob Description: Ready to kickstart your career in tech? Join our Data Analytics Job Placement Programme at Ad Astra Network — designed for beginners and career changers looking to enter the world of data. Learn job-ready skills from industry experts, work on real business projects, and get full career support to land your first role as a data analyst. What You’ll Do: - Excel for data handling - SQL for querying databases - Power BI for dashboards and reporting - Real-world business projects - CV, interview & job support ** What You Get:** - Structured, hands-on training - Work experience on real client projects - Professional certification - 1-to-1 career support - Job placement assistance ** Requirements:** - Strong interest in data and technology - Good written and spoken English - Basic computer literacy - Motivation to start a new career - No experience needed. Full training provided. This is the perfect opportunity to gain in-demand skills and get hired quickly in a growing industry. Apply today and take the first step toward your new data career!
No experienceEasy apply - Three
SALES REPRESENTATIVE NEEDED1 month ago£900–£1000 monthlyPart-timeLondonJob Offer: Phone Sales Representative (Part-Time) Location: United Kingdom (Remote/Work from Home) Salary: £1,000 per month (basic salary) + Commission Are you looking for an exciting opportunity to earn extra income without disrupting your current job? We are seeking motivated and enthusiastic individuals to join our team as Phone Sales Representatives! About the Role: As a Phone Sales Representative, you will have the opportunity to sell a range of cutting-edge phones and earn commission on every sale you make. This role is designed to be flexible and will not interfere with your existing job commitments. What We Offer: Basic Salary: A competitive monthly salary of £1,000. Commission: Earn additional income based on your sales performance. Flexible Hours: Work at your own pace and schedule, allowing you to balance your primary job with this exciting opportunity. Training and Support: Comprehensive training on our products and sales techniques to help you succeed. Product Perks: Opportunity to work with the latest phones and technology. Key Responsibilities: Promote and sell a variety of phones to your network and beyond. Maintain a strong knowledge of product features and benefits. Manage your own sales process from lead generation to closing. Track and report your sales achievements. Requirements: Proven sales experience is a plus, but not mandatory. Excellent communication and interpersonal skills. Self-motivated and driven to achieve sales targets. Must have access to a computer and an internet connection. How to Apply: If you’re excited about this opportunity and think you have what it takes to excel in phone sales, we want to hear from you! Please contact us Don’t miss the chance to enhance your income while maintaining your current job. Join us and turn your passion for technology into profit! Application Deadline: [30/ARRIL/2025] We look forward to welcoming you to our team!
Immediate start!No experienceEasy apply - Rival
PhD Research Intern, AI-Powered 2D-to-3D Video Conversion2 months agoFull-timeLondonAbout 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.
Immediate start!No experienceEasy apply
