AI Infrastructure Engineer

AI Infrastructure Engineer

Based in Edinburgh, United Kingdom. This is an initial 12-month PAYE contract with strong likelihood of further extensions.

Responsibilities

• Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability.
• Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing.
• Work within a larger team to rapidly develop proof-of-concept prototypes to validate research ideas and integrate them into production systems and serverless infrastructure.
• Work closely with cross-functional teams to participate in developing innovative AI infrastructure, data systems, and cloud computing technologies.
• Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks.

Requirements

• Education: Bachelor’s or Master's degree in Computer Science or a related technical field. (PhD preferred but not required).
• Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems.
• Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes).
• Good programming skills, master of at least one language, such as Python, and/or C/C++.
• Good communication and teamwork skills.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to .

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• Education: Bachelor’s or Master's degree in Computer Science or a related technical field. (PhD preferred but not required).
• Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems.
• Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes).
• Good programming skills, master of at least one language, such as Python, and/or C/C++.
• Good communication and teamwork skills.