About this role
Salary: £50,000 - 90,000 per year
Requirements: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.Strong knowledge of distributed systems, operating systems, machine learning systems architecture, inference serving, and AI infrastructure.Hands-on experience with LLM serving frameworks such as vLLM, Ray Serve, TensorRT-LLM, or TGI, and distributed KV cache optimization.Proficiency in C/C++, with additional experience in Python for research prototyping.Solid grounding in systems research methodology, distributed algorithms, and profiling tools.Team-oriented mindset with effective technical communication skills.PhD in systems, distributed computing, or large-scale AI infrastructure is preferred.Publications in top-tier systems or ML conferences such as NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, or ICLR are preferred.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. Responsibilities: Work closely with senior architects on real-world projects.Prototype and optimize next-generation AI infrastructure.Contribute to systems research and engineering work in operating systems, distributed systems, AI model serving, and machine learning infrastructure.Help improve performance optimization across distributed AI infrastructure and inference serving systems. Technologies: AICloudLLMLoad BalancingMachine LearningModel ServingPythonvLLM More:
We are seeking Systems Research Engineers to join us in building research-driven engineering experience focused on computer systems, distributed AI infrastructure, and performance optimization. These roles are well suited to recent PhD graduates or exceptional BSc/MSc engineers who want to work alongside senior architects on real-world projects involving operating systems, distributed systems, AI model serving, and machine learning infrastructure.
last updated 32 week of 2026