Applied Scientist

2 days ago

London Area, United Kingdom Cubiq Recruitment Full time £60,000 - £120,000 per year

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.

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