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- Tasks: Develop cutting-edge machine learning models for real-time threat detection and scene understanding.
- Company: Join Augur, a leader in transforming sensor systems into operational intelligence.
- Benefits: Enjoy a culture of trust, autonomy, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to accessibility and unique backgrounds.
- Why this job: Make a real impact by solving complex problems with innovative technology.
- Qualifications: Strong skills in ML/CV, Python, and deploying models to production.
The predicted salary is between 50000 - 70000 £ 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 Engineer to join our growing technical team. This role is critical in developing advanced capabilities in scene understanding, object detection, tracking, and 3D reconstruction from edge-deployed sensors. You will play a key part in evaluating and integrating state-of-the-art research, building efficient inference pipelines, and collaborating closely with product and backend teams to deploy production-grade CV models.
We're looking for someone with strong technical depth, a practical mindset, and a drive to tackle hard problems at the intersection of research and real-world product. The role includes opportunities to lead, mentor, and shape the future of our CV capabilities.
Key Skills
- Core ML/CV: Solid understanding of modern CV techniques (e.g. object detection, tracking, depth estimation, 3D geometry, SLAM).
- Deployment Focus: Strong background in deploying CV models to production; familiarity with ONNX/TensorRT a plus.
- Research Fluency: Comfortable navigating academic literature, benchmarking SOTA models, and integrating them into product pipelines.
- Engineering Rigor: Strong Python skills; experience with PyTorch, Torchvision, OpenCV, and ML tooling (e.g. Lightning, W&B).
- Autonomy: Capable of defining technical direction, leading architectural decisions, and working independently in a fast-moving environment.
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 Engineer in London employer: Augur Initiative
Contact Detail:
Augur Initiative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks 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 related to machine learning and computer vision. This is your chance to demonstrate your technical depth and practical mindset – make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of modern CV techniques and deployment strategies. Be ready to discuss how you’ve tackled hard problems in the past – they love a good story!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about making the hiring process accessible, so let us know if you need any accommodations.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your expertise in modern computer vision techniques and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working at Augur and how your background makes you a great fit. Don’t forget to mention any unique perspectives you bring to the table!
Showcase Your Projects: If you've got any personal or professional projects related to ML or CV, make sure to include them! We love seeing practical applications of your skills. Link to your GitHub or portfolio so we can check out your work and get a sense of your style.
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 us you’re keen on joining our team at Augur!
How to prepare for a job interview at Augur Initiative
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of modern computer vision techniques like object detection and tracking. Be ready to discuss how you've applied these in real-world scenarios, especially if you've deployed models to production.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects and how you tackled them. Augur values a practical mindset, so highlight your ability to navigate complex problems and come up with effective solutions.
✨Familiarise Yourself with Their Culture
Understand Augur's commitment to radical candor and mutual trust. Think about how you can demonstrate these values during the interview, whether through your communication style or by sharing experiences that reflect teamwork and collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their technology and culture. Inquire about their approach to integrating state-of-the-art research into product pipelines or how they foster inclusivity within their team. This shows you're genuinely interested in being part of their mission.