Principal Research Scientist

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Science & Research
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

operator learning geometric deep learning generative models Python PyTorch CUDA machine learning pipelines deep learning

FULL DESCRIPTION

Principal Research Scientist

London, United Kingdom – Hybrid – Full-time – Mid-Senior level

About us

[Employer hidden — sign up to reveal] is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, [Employer hidden — sign up to reveal] unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

What you will do

  • Own Research work-streams at a high-level to deliver outcomes.
  • Align priorities with problem stakeholders, internal and external.
  • Set the technical direction for the stream and apply judgement and taste to drive progress.
  • Plan roadmaps with clear milestones for key decisions and outcomes.
  • Organise and guide more junior members of the team to effectively execute and deliver.
  • Communicate purpose and key outcomes across the company.
  • Contribute towards Research group strategy and culture.
  • Identify valuable research areas and champion their development.
  • Nurture younger colleagues.
  • Translate physics and engineering challenges into mathematical problem formulations.
  • Build models to predict physical systems using state-of-the-art machine learning.
  • Discuss results with colleagues and customers.
  • Collaborate to translate models into production code.
  • Communicate work internally and externally.

What you bring to the table

  • Ability to scope and deliver projects.
  • Enthusiasm about using machine learning for science and engineering.
  • Strong problem-solving skills.
  • Excellent collaboration and communication skills.
  • PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or related field, with expertise in: operator learning, geometric deep learning, or generative models.
  • Over 4 years of industry experience building ML models in Python, PyTorch/CUDA, JAX, NumPy/SciPy.
  • Publication record in reputable venues.

What we offer

Build what actually matters, learn alongside exceptional people, influence over hierarchy, sustainable pace, hybrid model in Shoreditch office, equity options, 10% employer pension contribution, free office lunches, enhanced parental leave, YellowNest nursery scheme, 25 days annual leave + public holidays, private medical insurance, Wellhub subscription, eye tests, personal development, Employee Assistance Programme, Bike2Work scheme, season ticket loan, Octopus EV salary sacrifice.

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