2 of 2 Contract Distributed Computing Jobs in Edinburgh

Job Summary We are seeking AI Infra Engineer to design, develop, and optimize distributed AI systems for serverless AI platforms. The successful candidate will leverage expertise in large language models (LLMs), and system design to build robust, scalable solutions. This role offers a unique opportunity to contribute to innovative AI-driven systems, collaborating with cross-functional teams to deliver … high-impact solutions in a fast-paced, research-driven environment. Key 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 … 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. Required: Education: Bachelor's or Master's degree in Computer Science or a related More ❯

Job Summary We are seeking AI Infra Engineer to design, develop, and optimize distributed AI systems for serverless AI platforms. The successful candidate will leverage expertise in large language models (LLMs), and system design to build robust, scalable solutions. This role offers a unique opportunity to contribute to innovative AI-driven systems, collaborating with cross-functional teams to deliver … high-impact solutions in a fast-paced, research-driven environment. Key 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 … 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. Required: Education: Bachelor's or Master's degree in Computer Science or a related More ❯