AI System Researcher

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:

• AI
• Cloud
• LLM
• Load Balancing
• Machine Learning
• Model Serving
• Python
• vLLM

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