2 of 2 Performance Engineering Jobs in High Wycombe

high wycombe, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 6 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Head of Engineering/System Development Manager - up to £70k base with great benefits Remote working with an office Glasgow We are looking for a strategic, hands-on Head of Engineering to lead and scale our software engineering function. This senior leadership role will focus heavily on software engineering excellence across full-stack development, system design, architecture, and software delivery processes — while also overseeing our data engineering, cloud infrastructure, and security functions. You will be responsible for setting the technical direction, improving engineering velocity and quality … scalable systems. You must have a proven track record of delivering enterprise-grade applications and services, with deep experience in both legacy and modern technology stacks. Key Responsibilities Software Engineering Leadership Set and own the technical roadmap, ensuring architectural scalability, security, performance, and maintainability of all software systems. Oversee full lifecycle software development — from requirements, technical design, development More ❯

now scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our OTPUs. This role involves rethinking how AI workloads are executed at speed and scale, focusing on software systems that run distributed, low-latency inference … in shaping our AI platform’s performance. Ideal candidates have experience in HFT, large-scale scientific compute, or AI infrastructure at a serious scale. Responsibilities Design and build high-performance systems for AI/ML workloads across distributed compute clusters. Optimize for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed. … Identify and resolve performance bottlenecks across the stack, including model execution, scheduling, and hardware constraints. Collaborate with compiler engineers to improve code generation, execution paths, and memory layouts using tools like LLVM or MLIR. Work with hardware teams to ensure software fully leverages OTPU architecture capabilities. Extend ML frameworks (e.g., PyTorch, ONNX, OpenXLA) to support performance-critical inference More ❯