Applied Scientist
hace 2 días
City of London
Junior Applied Scientist London — Onsite Our client are building context-aware agentic systems that augment data science, software, and product teams inside large enterprises. The systems reason over complex organisational data, take multi-step actions, and integrate deeply with existing business workflows. We are now expanding the Applied Science team and are looking for exceptional early-career researchers who want to work on cutting-edge ML in a fast-moving product environment. This role is ideal for candidates finishing (or recently completing) a PhD at a top university, with a research track record at leading ML/AI conferences. As this is a role within the Applied team, candidates must be confident in their ability to move research through to production. What You’ll Work On • Develop and iterate on core models for context-aware enterprise agents, including planning, retrieval, grounding, and multi-step decision pipelines., • Conduct research on any ML frontier relevant to agentic systems e.g., LLMs, multimodal models, structured reasoning, data generation, or video-text modelling., • Build robust training, evaluation, and benchmarking setups for new model variants and agent behaviours., • Prototype new agent capabilities and work closely with engineering teams to turn them into production-quality features., • Analyse failure modes of agents in real customer environments and design methods to improve reliability, grounding, and actionability., • Contribute to internal research papers, technical memos, and (where appropriate) external publications. Who You Are • Currently completing or recently completed a PhD in Physics, Mathematics, Machine Learning, Computer Science, or a related field from a top university., • Strong publication record at leading venues such as NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, or EMNLP., • Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.)., • Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow)., • Ability to bridge high-level research with practical implementation., • Curious, humble, and excited to work on hard technical problems with real enterprise impact. Nice to Have • Experience in agentic or autonomous decision-making systems (not required)., • Prior work on LLM alignment, grounding, tool use, or planning., • Experience with enterprise data environments, knowledge graphs, or retrieval systems., • Hands-on experience with large-scale training, distributed compute, or evaluation tooling. Why Join? • Work on a high-impact ML problem space that blends deep research with real product deployment., • Collaborate with a world-class team of scientists and engineers with prior experience at leading AI labs and tech companies., • Opportunity to publish, attend conferences, and lead impactful research directions early in your career., • Competitive salary, equity, and benefits., • Located in central London with a strong in-person research culture.