Researcher In Computer Vision And Machine Learning

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge.

This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the intersection of Vision and Language. As part of the Future Interaction Research Programme, you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies.

Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge:

Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language.
Publish research findings at top international conferences (CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL, etc.).
Drive conceptual and methodological innovation, contributing to the centre's long-term research goals.
Collaborate with product and engineering teams to support the transfer of advanced research into commercial applications.

Areas of Interest Include:

Contrastively trained and auto-regressive Vision & Language models (e.G. CLIP, BLIP)
Visual LLMs (e.G. LLaVA)
Generative models (e.G. Stable Diffusion, auto-regressive models)
Efficient architectures for deployment
Model compression (quantization, distillation)
Efficient adaptation of large models

What We're Looking For:

Proven research experience in Computer Vision and/or Machine Learning
Strong knowledge of deep learning frameworks (e.G. PyTorch)
A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.)
Excellent communication and collaboration skills
Experience with Vision and Language models or related areas is advantageous

This is a permanent, full-time position for a Researcher in Computer Vision and Machine Learning based in Cambridge, UK. If you are passionate about pushing the boundaries of AI and want to work in a stimulating and impactful environment, we would love to hear from you.

APPLY NOW to join an elite research team working on the frontier of artificial intelligence.

Send your CV to (url removed) or call Rachael on (phone number removed)