College of Science and Engineering, The University of Edinburgh
Algorithm Engineer
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Company Description
The College of Science and Engineering at the University of Edinburgh is one of three academic Colleges and among the largest science and engineering groupings in the UK, with more than 3,000 staff and over 11,000 students. The College aims to be a global leader across its disciplines, known for outstanding teaching and high-impact research. Research is focused on three major thematic areas: Health and Life, Climate and Sustainability, and AI and Data Science, supported by strong discovery sciences. A recent assessment rated 96% of the College’s research as world leading or internationally excellent, with 55% at the highest world-leading level. Applicants can expect to join a vibrant, research-intensive environment with regular news, events, and opportunities highlighted through the College’s website and channels.
Role Description
The Algorithm Engineer is a full-time, on-site role based in Edinburgh within the College of Science and Engineering. The role involves designing, developing, and optimizing algorithms to support research projects and applied solutions across the College’s priority areas, particularly AI and Data Science. Day-to-day tasks include collaborating with academic and research staff to define technical requirements, implementing algorithmic solutions in suitable programming languages, and validating performance through experiments and benchmarking. The Algorithm Engineer will contribute to research and development activities, prepare technical documentation, and support the integration of algorithms into larger software systems or research workflows. The role also involves staying current with advances in algorithms and computational methods and sharing knowledge with colleagues through presentations, code reviews, and collaborative projects.
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Qualifications
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- Ability to design and develop algorithms, including strong skills in Algorithm Design, Algorithm Development, and understanding of core Algorithms.
- Proficiency in Programming in one or more languages commonly used in scientific or data-intensive environments (e.g., Python, C++, Java, MATLAB, or similar).
- Experience in Research and Development (R&D), including formulating problems, conducting experiments, and analyzing results.
- Strong analytical and problem-solving abilities, with attention to efficiency, scalability, and robustness of algorithmic solutions.
- Bachelor’s degree or higher in Computer Science, Mathematics, Engineering, Data Science, or a related field; advanced degree is advantageous.
- Familiarity with AI, machine learning, data science, or numerical methods is beneficial, especially in academic or research settings.
- Effective communication skills, including the ability to collaborate with multidisciplinary teams and document technical work clearly.
- Capacity to work independently, manage multiple projects, and adapt to evolving research priorities in a dynamic university environment.
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