Staines-upon-Thames, Middlesex, England, United Kingdom
Redline Group Ltd
An exciting opportunity has arisen for a Researcher in Computer Vision and MachineLearning 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 … 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 MachineLearning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at … 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 MachineLearning 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 More ❯
An exciting opportunity has arisen for a Researcher in Computer Vision and MachineLearning 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 … 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 MachineLearning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at … 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 MachineLearning 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 More ❯
An exciting opportunity has arisen for a Researcher in Computer Vision and MachineLearning 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 … 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 MachineLearning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at … 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 MachineLearning 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 More ❯
We are hiring for a MachineLearningResearcher to join its growing R&D function. This is a unique opportunity to apply cutting-edge machinelearning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You’ll collaborate with cross-functional teams to help shape next-generation tools and approaches for analysing … benefits including performance bonuses, private healthcare, and a generous pension scheme A stunning campus location with landscaped surroundings and a strong mission-led culture Your Responsibilities: Develop and apply machinelearning models to advance molecular sensing and biomolecule modelling Collaborate closely with scientists and engineers to drive innovation across sequencing technologies Create and optimise tools tailored to nanopore More ❯