AI Infrastructure Engineer

European Tech Recruit; City of Edinburgh; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technical recruitment agency is seeking an AI Infrastructure Engineer for a 12-month PAYE contract in Edinburgh. The role involves designing distributed systems, developing software solutions in Python and C++, and collaborating with cross-functional teams on AI infrastructure. Ideal candidates should have a background in Computer Science and experience with technologies like Docker and Kubernetes.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field; PhD preferred.
• In-depth understanding of distributed systems or cloud computing.
• Good programming skills in Python or C/C++.
• Strong communication and teamwork skills.

Responsibilities

• Design and implement scalable, distributed systems for AI workloads.
• Develop software solutions to address technical challenges in AI.
• Rapidly develop proof-of-concept prototypes and integrate them into production.
• Collaborate with teams on innovative AI infrastructure projects.
• Implement scheduling and orchestration for distributed tasks.

Skills

Python

C++

Distributed Systems

Cloud Computing

Communication

Teamwork

Education

Bachelor's degree in Computer Science

Master's degree in a related field

Tools

Docker

Kubernetes

Job description

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 [e-mail].

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