5 of 5 Permanent Performance Optimisation Jobs in Edinburgh

designers, product managers, and backend engineers to deliver seamless, elegant user experiences. Contribute to technical discussions around architecture, scalability, and maintainability. Implement best practices for testing, code quality, and performance optimisation. (Senior) Mentor junior engineers and influence wider engineering decisions. (Optional) Work with AI-driven components and Python-based APIs to enhance application intelligence. Tech Stack Core: React, TypeScript More ❯

an exceptional experience, and we focus on putting them at the heart of what we do. This role involves working with a cloud-native Front End platform optimised for performance, edge delivery, and seamless integration with marketing and content systems. Key Responsibilities Develop and maintain modern web applications using React and Next.js Build reusable UI components and document them … using Storybook Ensure all Front End code meets accessibility standards (WCAG) and delivers inclusive user experiences Implement SEO best practices, including meta tags, structured data (schemas), and performance optimization Collaborate with designers, Back End engineers, and marketing teams to deliver seamless user journeys across multiple web-based solutions Set up and maintain CI/CD pipelines for automated testing … and be supported. When you join us, your reward will be one of the best around. This includes 40 days' annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits - including gym discounts, season ticket loans and access to an employee discount portal. Our business Enabling our More ❯

functional teams to deliver high-impact solutions in a fast-paced, research-driven environment. Key Responsibilities Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability. Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing. Work within a larger team to rapidly develop … distributed systems, machine learning, or a related field. Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization More ❯

functional teams to deliver high-impact solutions in a fast-paced, research-driven environment. Key Responsibilities Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability. Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing. Work within a larger team to rapidly develop … distributed systems, machine learning, or a related field. Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization More ❯

machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance. Research Publications: Transform … Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations. Required: Bachelor's or Master's degree in Computer Science or a related technical field. Be comfortable …/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯