8 of 8 Performance Optimisation Jobs in Scotland

systems. Key Responsibilities Distributed Systems R&D: Architect and implement distributed system components for AI workloads across heterogeneous clusters (CPU, GPU, accelerators). Performance Optimisation: Conduct deep profiling and performance tuning of large-scale inference pipelines, focusing on KV cache management and memory scheduling. Scalable Serving Infrastructure … Stack: Proficiency in C/C++ for systems development and Python for research prototyping. Hands-on Experience: Experience with LLM serving frameworks, distributed cache optimisation, and performance profiling tools. Preferred: A track record of publications in top-tier systems or ML conferences and practical experience in load balancing ...

them onsite in Edinburgh on a permanent basis. As large language models continue to reshape the software stack, this team is pioneering scalable, high-performance systems for training and serving AI at data centre scale. Sitting at the intersection of cutting-edge research and real-world deployment, the group … excellent opportunity for engineers with a strong systems background who want to work on complex, research-driven challenges in distributed infrastructure, AI serving, and performance optimisation. The Role You will design and build core components of distributed AI systems, working across infrastructure layers to improve scalability, efficiency, and performance ...

Hands On Software Engineering Managers/Tech leads – C#/.NET/AZURE - Data & Performance 🌳 This is a hands-on technical leadership role with a strong focus on data architecture, application performance, and platform scalability. You’ll lead a small senior engineering team, combining technical delivery with people … usage, and real-time customer insight . 🔧 What You’ll Do 🌳 Lead and support a newly forming team focused on data architecture and application optimisation 🌳 Drive structural change within a large, established codebase to support scale 🌳 Influence architecture, design, and technology decisions across the platform 🌳 Partner closely with Product ...

/CD workflows Collaborating with product, leadership and marketing teams Mentoring junior developers and providing code reviews Overseeing integrations with APIs and driving performance optimisation The following skills and experience are required: Strong full stack web development experience Strong experience with JavaScript, TypeScript and modern frameworks (React) Experience ...

Strong experience using git, pull request workflows and best practices around branching and source control. Understanding of production system requirements for enterprise customers including performance, stability, security, and scalability considerations. Experience working on legacy system modernization projects. Hands-on experience with containerization concepts (e.g., Docker). Proficient … Server and database performance optimization. SPA frameworks/libraries, preferably React Building complex web applications Git Experience in the following is desirable: Azure DevOps Docker Node.js This role is urgent in nature so please email your CV to mitesh.fatnani@change-digital.co.uk or call 077 375 38 248 for more ...

Systems Research Engineer - LLM Optimisation Permanent Edinburgh City Centre (On-site 5 days), walking distance from local transport links Salary : Competitive and negotiable, generous benefits package In an era where Large Language Models (LLMs) are rebuilding the foundational software stack, our client is at the forefront of reshaping … system designs into deployable, real-world technologies. We are seeking Systems Research Engineers with a deep passion for computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems ...

seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving … Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters. · Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems. ...

Systems Research Engineer position: Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters. Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management. Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch Distributed. … publications in top-tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this ...