Senior Research Scientist

1 week ago

London, United Kingdom Selby Jennings Full time

Our client, a leading hedge fund, is looking for a Senior Applied AI Researcher to join their Applied AI team in London. You will be transforming how professionals interact with artificial intelligence in high-performance environments. This team has developed a suite of AI-powered tools, including custom assistants with deep research capabilities, and is focused on building reasoning models and collaborative AI workspace. We are seeking a Senior Research Scientist to contribute to the development of next-generation AI tools that support decision-making and research workflows. You'll work on impactful projects that bring advanced machine learning research into production, directly influencing how users leverage AI in complex domains. This role offers a unique opportunity to push the boundaries of human + AI collaboration. You'll work within a rich ecosystem of data, models, compute resources, and expert users, enabling rigorous experimentation and innovation.ResponsibilitiesConduct original research in machine learning, particularly in reinforcement learning, agent architectures, and large language models (LLMs)Prototype and develop new ML models and algorithms for real-world deploymentCollaborate with engineering teams to integrate research into production systemsDesign experiments and analyze results to evaluate model performanceEngage with end-users to align research with practical applicationsContribute to the research community through publications, presentations, and open-source projectsMentor junior researchers and help shape technical strategyParticipate in the full research lifecycle from ideation to deploymentRequirements:PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related fieldStrong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)2-5 years of post-PhD experienceDeep expertise in machine learning, with a focus on NLP and reinforcement learningExperience developing ML models in Python (PyTorch)Proven ability to translate research into scalable, practical solutionsExperience deploying ML models in production environmentsFamiliarity with financial markets or complex decision-making domainsKnowledge of vector databases, semantic search, or information retrieval systems

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