2 of 2 Distributed Systems Jobs in West Lothian

join a research lab focused on shaping the future of data center infrastructure. As a Research Engineer you will collaborate with leading scientists, tackle cutting-edge research problems in systems, foster influence in academia and industry through technological innovations, and cultivate partnerships with local and global research teams. Responsibilities as Infrastructure Research Engineer : Contribute to the research and development … s degree in Computer Science or a related technical field. Be comfortable with research methodology. Be comfortable with system design and implementation. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing. Good programming skills, master of at least one language, such as C/C++, Go, Python etc. … Good communication skills. Desirable Experience: PhD in operating systems, distributed systems etc. Published papers in top journals/conferences. If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com. By applying to this role you understand that we may collect your personal data and More ❯

to join their team . This will be an initial 12 month PAYE contract with strong likelihood of further extensions. In this role you will design, develop, and optimize distributed AI systems for serverless AI platforms. This will involve leveraging expertise in LLMs, and system design to build robust, scalable solutions. Responsibilities as AI Infrastructure Engineer: 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 More ❯