Machine Learning Researcher London

Augur; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Augur Communications Ltd is seeking an ML Researcher in London to lead end-to-end research directions, developing novel algorithms at the intersection of computer vision, deep learning, and 3D geometry. You’ll prototype to production-grade systems powering real-time spatial intelligence and contribute to research publications.

You will mentor junior researchers and interns, shape the research roadmap, and collaborate with a high-autonomy team.

Qualifications

• PhD or Master’s with equivalent research experience.
• Deep expertise in CV, spatial AI, and related areas.
• Strong Python and PyTorch skills; production-quality code.
• Ability to independently formulate research problems and direction.

Responsibilities

• Formulate research problems and design rigorous experiments.
• Develop novel algorithms at the intersection of CV, DL, geometry, and vision-language modelling.
• Prototype research into production-grade systems powering real-time spatial intelligence.
• Publish at top venues and deploy research at scale; mentor junior researchers.

Skills

Academic Track Record

Core CV & Spatial AI

Engineering Rigor

Autonomy

Education

PhD or Master’s with equivalent research experience

Tools

Python

PyTorch

Job description

Augur transforms legacy sensor systems into real-time operational intelligence. We help organisations act before threats escalates – not after damage is done. Everything we build is privacy-first by design.

Our platform connects to existing cameras and sensors to detect threats, retrace events, and surface real‑time insights – all without replacing a single device. Augur helps teams reduce risk, cut costs, and grow revenue through better visibility, faster decisions, and fewer blind spots.

Our culture is built on a foundation of radical candor and mutual trust. We recognise that being an industry leader requires more than just building exceptional products – it requires empowering a team of exceptional people. Individually, we operate with high autonomy; collectively, we’re unified by a shared drive to achieve our mission through a commitment to excellence.

We are looking for an ML Researcher to join our Machine Learning team in London.

This role sits at the intersection of cutting‑edge research and mission‑critical deployment. You will own research directions end‑to‑end, developing novel algorithms at the intersection of computer vision, deep learning, metric learning, 3D geometry, and vision‑language modelling.

You will formulate problems, design experiments, and drive your work from prototype through to production‑grade systems that power real‑time spatial intelligence across complex environments. We aim to publish at top venues and deploy at scale, and we’re looking for researchers who want to do both.

The role includes opportunities to shape Augur’s research roadmap, mentor junior researchers and interns, and strengthen our presence in the research community. Work on‑site at least two days weekly, specifically one day being a Thursday.

Key Skills

• Academic Track Record: PhD (or Master’s with equivalent research experience) in Computer Vision, Machine Learning, or a related discipline. Published work at leading journals or conferences is considered a strong plus.
• Core CV & Spatial AI: Deep expertise in areas such as metric learning, multi‑view geometry, depth estimation, 3D scene understanding, rendering techniques, feature‑based tracking, self‑supervised learning, or learning‑based mapping and localisation.
• Engineering Rigor: Strong Python and PyTorch skills; ability to write testable, production‑quality code and participate actively in code reviews.
• Autonomy: Capable of independently formulating research problems, defining technical direction, and communicating findings clearly in both writing and discussion.

Accessibility and inclusivity

At Augur, our culture is built on radical candor and mutual trust. To solve the complex, physical‑world problems our customers face, we need a team that thinks differently.

Whether you’re self‑taught, have a non‑traditional background, or are returning to the workforce, if you have the grit and the experience we’re looking for at Augur, we’d love to hear from you.

We are committed to fostering a diverse workplace and ensuring an accessible hiring experience – please let us know if you require any accommodations during the interview process to help you do your best work.