{"id":182675,"date":"2026-07-22T00:00:00","date_gmt":"2026-07-21T23:00:00","guid":{"rendered":"https:\/\/ic-resources.com\/jobs\/computer-vision-research-scientist-491310\/"},"modified":"2026-07-25T02:05:01","modified_gmt":"2026-07-25T01:05:01","slug":"computer-vision-research-scientist-491310","status":"publish","type":"jobs","link":"https:\/\/ic-resources.com\/en\/jobs\/computer-vision-research-scientist-491310\/","title":{"rendered":"Computer Vision Research Scientist"},"content":{"rendered":"

A global technology company at the forefront of artificial intelligence and advanced computing. With a strong commitment to research and innovation, the organisation operates internationally, investing in cutting-edge AI technologies and collaborating with leading academic and industry partners to develop next-generation intelligent systems.<\/span><\/p>\n

Our London-based AI research team is expanding and is seeking a Research Scientist \u2013 Computer Vision to contribute to pioneering research in multimodal artificial intelligence. Working alongside a highly experienced international team, you will help develop state-of-the-art models spanning computer vision, multimodal learning, and foundation models, with opportunities to translate research into impactful real-world applications.<\/span><\/p>\n

This is a permanent, full-time position based in Central London.<\/span><\/p>\n

Key responsibilities<\/span><\/strong><\/h2>\n

Frontier AI Research<\/span><\/h3>\n
    \n
  • Design and develop Vision Transformer (ViT) and multimodal model architectures with enhanced reasoning, efficiency, and scalability<\/span><\/li>\n
  • Advance research in multimodal representation learning, alignment techniques, and long-context modelling<\/span><\/li>\n
  • Investigate scalable training approaches for large multimodal foundation models<\/span><\/li>\n
  • Improve model performance, robustness, and generalisation across diverse tasks<\/span><\/li>\n<\/ul>\n

    Data & Model Development<\/span><\/h3>\n
      \n
    • Process and curate large-scale multimodal datasets comprising images, video, audio, and text<\/span><\/li>\n
    • Build robust pipelines for data cleaning, filtering, annotation, and quality assurance<\/span><\/li>\n
    • Maintain reproducible datasets through effective versioning and documentation<\/span><\/li>\n
    • Optimise data sampling strategies and improve dataset quality through iterative evaluation and feedback<\/span><\/li>\n<\/ul>\n

      Systems & Infrastructure<\/span><\/h3>\n
        \n
      • Develop distributed training systems for large-scale multimodal models<\/span><\/li>\n
      • Optimise GPU utilisation, resource scheduling, and training efficiency<\/span><\/li>\n
      • Contribute to training and inference frameworks that support scalable model development<\/span><\/li>\n
      • Improve the reliability, performance, and scalability of AI infrastructure<\/span><\/li>\n<\/ul>\n

        Research Translation<\/span><\/h3>\n
          \n
        • Apply advanced multimodal AI capabilities to intelligent products and user-facing applications<\/span><\/li>\n
        • Work closely with engineering and product teams to bring research innovations into production<\/span><\/li>\n
        • Contribute to the continuous improvement and deployment of cutting-edge AI technologies<\/span><\/li>\n<\/ul>\n

          Person specification<\/span><\/strong><\/h2>\n

          Essential<\/span><\/h3>\n
            \n
          • Degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related technical discipline<\/span><\/li>\n
          • Strong Python programming skills with hands-on experience using PyTorch and modern deep learning frameworks<\/span><\/li>\n
          • Excellent algorithmic thinking, mathematical reasoning, and problem-solving ability<\/span><\/li>\n
          • Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams<\/span><\/li>\n
          • A proactive, self-motivated approach and enthusiasm for tackling challenging research problems<\/span><\/li>\n<\/ul>\n

            Desirable<\/span><\/h3>\n
              \n
            • Publications at leading AI or computer vision conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR)<\/span><\/li>\n
            • Experience training or fine-tuning large-scale vision, language, or multimodal models<\/span><\/li>\n
            • Contributions to open-source AI projects or research experience within industry or academic laboratories<\/span><\/li>\n<\/ul>\n

              Please contact Charles Duran for more information.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

              A global technology company at the forefront of artificial intelligence and advanced computing. With a strong commitment to research and innovation, the organisation operates internationally, investing in cutting-edge AI technologies and collaborating with leading academic and industry partners to develop next-generation intelligent systems. Our London-based AI research team is expanding and is seeking a Research Scientist \u2013 Computer Vision to contribute to pioneering research in multimodal artificial intelligence. Working alongside a highly experienced international team, you will help develop state-of-the-art […]<\/p>\n","protected":false},"featured_media":0,"template":"","team-industry":[],"job_sector":[679,675],"job_expertise":[680],"job_skillset":[722],"consultants":[806],"industry":[],"class_list":["post-182675","jobs","type-jobs","status-publish","hentry","consultants-charles-duran"],"acf":[],"yoast_head":"\nComputer Vision Research Scientist - England<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ic-resources.com\/en\/jobs\/computer-vision-research-scientist-491310\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Computer Vision Research Scientist - England\" \/>\n<meta property=\"og:description\" content=\"Apply to Computer Vision Research Scientist - London, England. 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