Distributed AI Systems Research Engineer – Edinburgh

Distributed AI Systems Research Engineer – Edinburgh

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
European Tech Recruit

At a Glance

  • Tasks: Architect distributed AI systems and optimise inference pipelines for cutting-edge workloads.
  • Company: Globally leading UK research centre with a focus on innovation.
  • Benefits: Competitive salary, opportunities for publication, and collaboration with top-tier researchers.
  • Other info: On-site role in Edinburgh with excellent career development prospects.
  • Why this job: Join a high-calibre team and contribute to groundbreaking AI research.
  • Qualifications: Experience in distributed systems and a passion for AI technologies.

The predicted salary is between 50000 - 70000 Β£ per year.

European Tech Recruit partners with a globally leading UK research centre to recruit a Systems Research Engineer for an on-site role in Edinburgh.

You will architect distributed systems for AI workloads across CPU, GPU, and NPU clusters, and optimize inference pipelines with KV cache management.

Join a high-calibre team, develop novel AI-serving frameworks with v LLM/Ray Serve, and explore cache sharing and data locality while contributing to publications at top-tier venues.

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Distributed AI Systems Research Engineer – Edinburgh employer: European Tech Recruit

Join a leading global technology organisation in Edinburgh, where innovation meets collaboration. As an AI Engineer, you'll be part of a dynamic research and development team dedicated to pushing the boundaries of multimodal AI and edge computing. Enjoy a supportive work culture that fosters professional growth, offers competitive benefits, and provides unique opportunities to work on groundbreaking projects that shape the future of intelligent mapping and spatial reasoning systems.

European Tech Recruit

Contact Details:

European Tech Recruit Recruitment Team

We think you need these skills to ace Distributed AI Systems Research Engineer – Edinburgh

Architecting Distributed Systems
AI Workloads Optimization
CPU, GPU, and NPU Clusters Management
Inference Pipeline Optimization
KV Cache Management
AI-Serving Frameworks Development
vLLM