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A UK-based university seeks an AI Research Engineer to support the development of multimodal AI solutions. The role involves collaborating on high-impact projects, maintaining infrastructure, and implementing AI models using PyTorch. The ideal candidate has experience in research software and open science principles, and will engage with diverse stakeholders to promote interdisciplinary collaboration.
You will join the AI Research Engineering team within the University of Sheffield's Centre for Machine Intelligence, supporting the UKRI-EPSRC funded UK Open Multimodal AI Network's flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI solutions for Tomorrow's Engineering Research Challenges.
As an AI Research Engineer, you will work on cross-cutting technologies that support a portfolio of short, high-impact projects funded through OMAIB calls. These span domains such as healthcare, materials discovery, and transportation systems. You will collaborate with Principal Investigators, industry partners, and end-user stakeholders to provide the research and software engineering expertise needed to deliver robust, reproducible, and openly accessible outputs.
We are committed to exploring flexible working opportunities which benefit the individual and University. We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.