{"id":5482,"date":"2026-10-10T10:54:56","date_gmt":"2026-10-10T10:54:56","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/ai-research-scientist\/"},"modified":"2026-10-10T10:54:56","modified_gmt":"2026-10-10T10:54:56","slug":"ai-research-scientist","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/ai-research-scientist\/","title":{"rendered":"AI Research Scientist"},"content":{"rendered":"

AI 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>\nAI 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 a London-based AI research opportunity with a competitive salary, focused on advanced work in foundation models and frontier AI systems. The employer is looking for research scientists who can contribute directly to model development in a world-class research environment. The role centers on highly technical work across multimodal intelligence, large-scale training, agentic behavior, evaluation, and inference efficiency.<\/p>\n

What the role involves<\/h3>\n
    \n
  • Contributing to research on foundation models and helping push forward frontier model development.<\/li>\n
  • Working on native multimodal intelligence, including systems that combine vision, language, audio, and other modalities.<\/li>\n
  • Developing and refining training approaches for large models, including supervised fine-tuning, preference-based optimization, and reinforcement-learning methods used for alignment and improvement.<\/li>\n
  • Building data engineering processes and synthetic data pipelines that support training and experimentation at scale.<\/li>\n
  • Designing agentic frameworks that support reasoning, tool use, and memory-based behavior in AI systems.<\/li>\n
  • Creating evaluation and benchmarking methods, including judge-based evaluation approaches and metrics related to safety and alignment.<\/li>\n
  • Improving model serving and runtime efficiency through techniques such as quantization, distillation, and optimized inference stacks.<\/li>\n
  • Working on research that has a direct effect on the development of advanced AI models.<\/li>\n<\/ul>\n

    Technical focus areas<\/h3>\n
      \n
    • Native multimodal modeling, including vision-language and audio-vision systems, as well as other cross-modal approaches.<\/li>\n
    • Pre-training and post-training methods at scale, including supervised fine-tuning, direct preference optimization, and reinforcement learning from human or AI feedback.<\/li>\n
    • Data engineering and synthetic data generation for model development.<\/li>\n
    • Agentic frameworks, reasoning systems, tool-using models, and memory mechanisms.<\/li>\n
    • Evaluation and benchmarking, including LLM-as-judge methods and safety or alignment metrics.<\/li>\n
    • Inference optimization, including quantization, distillation, and serving with tools such as vLLM or TensorRT-LLM.<\/li>\n<\/ul>\n

      What the employer is looking for<\/h3>\n
        \n
      • A PhD or master\u00e2\u0080\u0099s degree in computer science, AI, machine learning, physics, mathematics, or a similar discipline, or equivalent research experience.<\/li>\n
      • Strong practical expertise in at least one of the core areas listed for the role.<\/li>\n
      • Excellent Python skills and experience with PyTorch and distributed training.<\/li>\n
      • A strong publication record in leading research venues such as NeurIPS, ICML, ICLR, CVPR, or ACL, or meaningful open-source contributions to major foundation model projects.<\/li>\n
      • The ability to work effectively in a research-driven setting focused on advanced AI systems.<\/li>\n<\/ul>\n

        How to apply<\/h3>\n

        Interested candidates are encouraged to contact Charles Duran, the AI and machine learning recruiter listed for the role, and use the Apply Now option on the posting. The page also provides a request-a-call option and contact details for direct outreach.<\/p>\n

        Additional context<\/h3>\n

        The role is advertised in London, England, and is presented as a research position within a world-class AI lab. The posting emphasizes work on foundation models, multimodal intelligence, and agentic systems, with the expectation that the successful candidate will bring strong research ability and hands-on technical depth.<\/p>\n\n

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

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