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Job Description

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 , 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.