7 of 7 Performance Optimisation Jobs in Scotland

stakeholders. • Conduct thorough code reviews, ensuring adherence to Magento best practices, coding standards and internal development guidelines. • Diagnose and resolve platform issues, bugs and performance bottlenecks in a timely and efficient manner. • Maintain platform security and ensure all development work aligns with Magento's security best practices and patch … platforms. • Work with REST and GraphQL APIs to connect the platform with internal and external services. • Evaluate and implement third party extensions, assessing compatibility, performance impact and long term supportability. • Support the integration of product data feeds, pricing engines and stock management systems to ensure data accuracy across ...

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 ...

/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 ...

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 ...