At a Glance
- Tasks: Develop cutting-edge machine learning models for real-time operational intelligence.
- Company: Join Augur, a leader in transforming sensor systems with a culture of trust and innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for personal growth.
- Other info: Be part of a diverse team that values unique perspectives and fosters inclusivity.
- Why this job: Make a real impact by tackling complex problems at the intersection of research and product.
- Qualifications: Strong understanding of computer vision techniques and experience deploying ML models.
The predicted salary is between 60000 - 75000 £ per year.
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. 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 London employer: Augur Initiative Ltd
At Augur, we pride ourselves on being an exceptional employer in the heart of London, where innovation meets a culture of radical candor and mutual trust. Our commitment to employee growth is evident through opportunities for mentorship and leadership within our technical team, empowering you to shape the future of computer vision capabilities while working on cutting-edge technology. Join us to be part of a diverse and inclusive workplace that values your unique perspective and fosters a collaborative environment focused on excellence.
