At a Glance
- Tasks: Develop cutting-edge algorithms in machine learning and computer vision for real-time operational intelligence.
- Company: Join Augur, a leader in transforming sensor systems with a culture of trust and innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate with a diverse team and mentor junior researchers while publishing at top venues.
- Why this job: Make a real impact by shaping the future of AI and enhancing safety through technology.
- Qualifications: PhD or Master's in relevant fields with strong Python and PyTorch skills.
The predicted salary is between 60000 - 80000 £ per year.
About Augur
Augur transforms legacy sensor systems into real-time operational intelligence. We help organisations act before threats escalate – 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.
Machine Learning Researcher in London employer: Augur Initiative
At Augur, we pride ourselves on being an exceptional employer that fosters a culture of radical candor and mutual trust. Our London-based team thrives in an environment that encourages autonomy and innovation, offering unique opportunities for professional growth through mentorship and collaboration on cutting-edge research. With a commitment to inclusivity and diversity, we empower our employees to shape the future of operational intelligence while enjoying a supportive workplace that values their contributions.
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We think you need these skills to ace Machine Learning Researcher in London
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