---
title: 'AI Researcher at BeyondMath'
canonical: 'https://feeny.ai/job/ai-researcher-beyondmath-london-088es291n6wb'
type: 'job'
last_seen: '2026-09-05'
---

# AI Researcher at BeyondMath

- **Company:** BeyondMath
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-18
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/beyondmath/80908ed2-613f-4f8d-987e-375336a900a1

## Job description

Senior AI Researcher

BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed.

We are moving beyond the "generic AI" hype to solve the world’s hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments.

## The Role

As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers.

You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance.

## Key Responsibilities

- Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations.
- Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won’t just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform.
- Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models.
- Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements.
- External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics."
- Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks.

## About You

You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists.

Essential Requirements:

- PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field.
- 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments.
- Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops.
- Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals).
- Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation.

Highly Desirable:

- Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks.
- Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics.
- Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization.

Why Join Us?

- Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry.
- High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport.
- Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."

We receive a large number of applications and take the time to carefully review each one. While this means our response time might be a bit slower, we deeply appreciate your patience

## About BeyondMath

## Company Overview
- **One-liner**: BeyondMath develops a foundational AI model of physics that enables engineers to run full-fidelity simulations up to 1,000× faster than traditional solvers, compressing design cycles from months to minutes.
- **Entity Type**: Private (Seed-stage)
- **Headquarters**: London, United Kingdom (also has presence in Cambridge, UK and the United States)
- **Founded**: 2022
- **Founders**: Alan Patterson (Co‑Founder & CEO), Darren Garvey (Co‑Founder)

## Core Business
- **Primary industry/industries**: Simulation software, Artificial Intelligence, Engineering design (aerospace, automotive, energy, defense, semiconductors, construction, telecommunications, electronics)
- **Target customers**: B2B – engineering teams in aerospace, automotive, energy, defense, and other hardware-intensive industries
- **Mission or purpose statement**: “By going beyond the limits of traditional data, computation, and simulation, our platform not only brings design to a new scale and speed, but also enables breakthroughs that might otherwise remain undiscovered.” – [beyondmath.com](https://beyondmath.com/about)

## Products & Services
- **Generative Physics Engine (Platform)**: A cloud-based SaaS platform that accepts raw geometry (no solver‑ready mesh required) and runs transient simulations of pressure, velocity, temperature, and other physical fields in real time. The engine is powered by the world’s first foundational AI model trained on the fundamental laws of physics, enabling engineering‑grade accuracy and 1,000× speed improvements over conventional CFD/FEA solvers. The platform also provides visualisation, export, and integration APIs for existing workflows. – [beyondmath.com](https://beyondmath.com)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding – **$20.3M** (USD) across three rounds; latest **$18.5M Seed Round** closed in February 2026
- **Notable Investors/Partners**: Cambridge Innovation Capital (lead, 2026 round), UP Partners (lead, 2024 & 2022 rounds), and other undisclosed investors. – [cbinsights.com](https://www.cbinsights.com/company/beyondmath)
- **Growth Signals**: Headcount grew **22.2% YoY** (19 employees as of mid‑2026); placed 3rd in the **Siemens Industrial AI Awards**; exhibited at **NVIDIA GTC Paris**. – [uk.linkedin.com](https://uk.linkedin.com/company/beyondmath)

## Competitive Advantages
- **Foundational physics AI**: Unlike traditional surrogate models trained on limited legacy data, BeyondMath’s model understands the underlying laws of physics, making it generalizable across geometries, industries, and boundary conditions.
- **No pre‑processing required**: Users upload raw geometry directly – no solver‑ready mesh or manual preprocessing, dramatically reducing setup time.
- **Speed & scalability**: 1,000× faster simulation enables engineers to explore thousands of design variants in the time it would take to run a single traditional simulation.
- **Team depth**: The founding team includes veterans from Google, eBay, Amazon (Evi Technologies), and Palantir, with deep expertise in machine learning, software engineering, and commercial scaling.

## Strategic Focus
- **Scale the foundational model**: Expand the AI’s training data and capabilities to cover more physics domains (e.g., electromagnetics, aeroacoustics, multiphysics) and more industries.
- **Enterprise adoption**: Build out the commercial team (recently hired a Technical Account Director) and secure multi‑year contracts with large engineering organizations.
- **Ecosystem integration**: Offer APIs and plugins to integrate directly into customers’ existing CAD/PLM workflows.

## Why Work Here
- **Cutting‑edge AI & physics**: Engineers and researchers get to work on the frontier of AI and computational physics, solving real‑world problems in aerospace, energy, and defence.
- **Small, high‑impact team**: With only ~20 people, every hire has outsized influence on both the product and the company direction.
- **Research‑friendly culture**: The team includes leading AI researchers from top institutions (Imperial College London, University of Oxford) and the company encourages publishing and participation in industry awards.
- **Hybrid/remote flexibility**: Although headquartered in London, the team spans the UK and US, and job postings do not mandate full‑time in‑office presence – likely a flexible work arrangement.
- **Notable perks**: Early‑stage equity, direct mentorship from founders with deep tech (Google, Palantir) experience, and the chance to shape the product roadmap from day one.

## Sources
1. [beyondmath.com (product & mission)](https://beyondmath.com)
2. [beyondmath.com (about team & story)](https://beyondmath.com/about)
3. [uk.linkedin.com (company details & headcount)](https://uk.linkedin.com/company/beyondmath)
4. [cbinsights.com (funding & investors)](https://www.cbinsights.com/company/beyondmath)
5. [jobs.ashbyhq.com (open positions)](https://jobs.ashbyhq.com/beyondmath)

## Other roles at BeyondMath

- [Technical Account Director](https://feeny.ai/job/technical-account-director-beyondmath-london-cbbny9s4913a) — London, United Kingdom
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