5 of 5 Remote Full-Stack Development Jobs in Edinburgh

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work More ❯

cloud-native stack and having real influence over technical decisions from day one. Full Stack Engineer - Role highlights Build and maintain full-stack features withTypeScript, Next.js, React, Tailwind, Shadcn Design APIs and backend services (Node/Python, Prisma, Postgres, Redis, NoSQL) Deliver responsive, accessible, user-friendly UI Write automated tests More ❯

based in Edinburgh. This is a permanent position offering the flexibility of fully remote working across the United Kingdom. The ideal candidate will bring strong experience in full-stack development, particularly with Ruby on Rails and React Native, and a passion for creating high-quality, user-focused software solutions. You will be integral to … Additionally, you will be equipped with a MacBook and a home-working budget to create a productive environment from your chosen location. If you are a passionate full-stack engineer with expertise in Ruby on Rails and React Native and are looking to make an impact within a forward-thinking sports technology company, we would love More ❯

markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions … vision models (LVMs), and large multimodal models (LMMs), including fine-tuning and reinforcement learning. This is a challenging yet rewarding opportunity to contribute to cutting-edge research and development in generative AI. You'll be working with a collaborative team to push the boundaries of what's possible with AI models and deploy them into innovative products. If … latest advancements in large language models, training techniques, and related technologies. Collaborate with other engineers and researchers to design, implement, and deploy AI powered products. Contribute to the development of internal tools and infrastructure for model training and evaluation. Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and 5+ years More ❯