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- Tasks: Drive cutting-edge ML research and develop novel algorithms for real-time spatial intelligence.
- Company: Join Augur, a leader in transforming sensor systems with a privacy-first approach.
- Benefits: Competitive salary, flexible work environment, and opportunities for mentorship and growth.
- Other info: Dynamic team culture focused on radical candor and mutual trust.
- Why this job: Make a real impact by shaping the future of machine learning and spatial intelligence.
- 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.
ML Researcher in London employer: Augur Initiative
Contact Detail:
Augur Initiative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Researcher in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Augur. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and machine learning. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for the interview by diving deep into Augur’s work. Understand their products and think about how your research can contribute to their mission. Tailor your examples to show how you can add value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Augur.
We think you need these skills to ace ML Researcher in London
Some tips for your application 🫡
Show Off Your Research Skills: When you're writing your application, make sure to highlight your academic achievements and any published work. We want to see how your experience aligns with our cutting-edge research goals, so don’t hold back!
Be Clear and Concise: We appreciate clarity! When you describe your past projects or experiences, keep it straightforward. Use simple language to explain complex concepts, especially in areas like computer vision and machine learning.
Tailor Your Application: Make your application stand out by tailoring it to our specific needs. Mention how your skills in Python and PyTorch can contribute to our mission at Augur. Show us that you understand what we do and how you can fit into our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Augur Initiative
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning, especially in computer vision and deep learning. Be ready to discuss your previous research and how it relates to Augur's mission. They’ll appreciate your depth of knowledge and passion for the field.
✨Showcase Your Projects
Prepare to talk about your past projects, particularly those involving metric learning or 3D geometry. Bring examples of your work, whether it's code snippets or research papers, to demonstrate your engineering rigor and problem-solving skills.
✨Emphasise Collaboration
Augur values teamwork and mentorship, so be ready to discuss how you've collaborated with others in your previous roles. Share experiences where you’ve mentored junior researchers or contributed to a team’s success, highlighting your ability to communicate findings clearly.
✨Ask Thoughtful Questions
Prepare some insightful questions about Augur's research roadmap and their approach to real-time operational intelligence. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.