{"id":3070,"date":"2026-07-24T20:29:41","date_gmt":"2026-07-24T20:29:41","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/computer-vision-research-scientist\/"},"modified":"2026-07-24T20:29:41","modified_gmt":"2026-07-24T20:29:41","slug":"computer-vision-research-scientist","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/computer-vision-research-scientist\/","title":{"rendered":"Computer Vision Research Scientist"},"content":{"rendered":"

Computer Vision Research Scientist Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nIC Resources Recruitment<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nComputer Vision Research Scientist<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nBachelor’s<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This is an opportunity to join a global technology organisation that is recognised for leadership in artificial intelligence and advanced computing. The company places a strong emphasis on research, innovation, and international collaboration, and it works with academic and industry partners to create next-generation intelligent systems. Its London AI research group is growing and is looking for a research scientist focused on computer vision to help push forward work in multimodal artificial intelligence.<\/p>\n

The role sits within a highly experienced international team and offers the chance to contribute to pioneering research across computer vision, multimodal learning, and foundation models. The work is not limited to theory: the team also aims to translate research into practical applications that have real impact. This is a permanent, full-time position based in Central London.<\/p>\n

What you will do<\/h3>\n
    \n
  • Take part in frontier AI research focused on computer vision and multimodal systems.<\/li>\n
  • Design and develop Vision Transformer-based and other multimodal architectures that improve reasoning, efficiency, and scalability.<\/li>\n
  • Advance methods for multimodal representation learning, alignment, and long-context modelling.<\/li>\n
  • Investigate approaches for training large multimodal foundation models at scale.<\/li>\n
  • Work to improve model performance, robustness, and generalisation across different tasks and use cases.<\/li>\n
  • Source, process, and organise large multimodal datasets containing combinations of images, video, audio, and text.<\/li>\n
  • Build reliable workflows for cleaning, filtering, annotating, and quality-checking data.<\/li>\n
  • Maintain reproducible datasets through careful versioning and documentation.<\/li>\n
  • Improve data sampling strategies and use iterative evaluation to raise dataset quality.<\/li>\n
  • Develop distributed training systems that can support large-scale multimodal model development.<\/li>\n
  • Optimise GPU usage, compute scheduling, and training efficiency.<\/li>\n
  • Contribute to training and inference frameworks that make model development more scalable.<\/li>\n
  • Help improve the reliability, speed, and scalability of the AI infrastructure.<\/li>\n
  • Apply multimodal AI capabilities to intelligent products and user-facing applications.<\/li>\n
  • Work closely with engineering and product teams to move research ideas into production.<\/li>\n
  • Support the ongoing deployment and refinement of advanced AI technologies.<\/li>\n<\/ul>\n

    What the employer is looking for<\/h3>\n
      \n
    • A degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a similar technical discipline.<\/li>\n
    • Strong Python programming ability, with hands-on experience using PyTorch and modern deep learning tools.<\/li>\n
    • Excellent algorithmic thinking, mathematical reasoning, and problem-solving skills.<\/li>\n
    • Strong communication and teamwork skills, with the ability to work across multidisciplinary groups.<\/li>\n
    • A proactive, self-motivated mindset and enthusiasm for challenging research work.<\/li>\n
    • Interest or experience in computer vision, multimodal learning, or foundation model research.<\/li>\n
    • Desirable: publication record at leading AI or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.<\/li>\n
    • Desirable: experience training or fine-tuning large-scale vision, language, or multimodal models.<\/li>\n
    • Desirable: open-source AI contributions or research experience gained in industry or academic laboratories.<\/li>\n<\/ul>\n

      What is on offer<\/h3>\n
        \n
      • A permanent, full-time role.<\/li>\n
      • A position based in Central London.<\/li>\n
      • The chance to work for a global company operating at the forefront of AI and advanced computing.<\/li>\n
      • Involvement in a research team with strong international expertise.<\/li>\n
      • The opportunity to contribute to cutting-edge multimodal AI research.<\/li>\n
      • The ability to help bring research innovations into real-world products and applications.<\/li>\n
      • Collaboration with leading academic and industry partners.<\/li>\n<\/ul>\n

        For further information, candidates are invited to contact Charles Duran. Applications can be submitted through the Apply Now route on the listing.<\/p>\n\n

        Degree Requirement:<\/strong> Bachelor’s<\/p>\n

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