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- Tasks: Design and implement computer vision pipelines for real robotic systems in dynamic environments.
- Company: Join an innovative early-stage robotics startup revolutionising industrial automation.
- Benefits: Competitive salary up to £180k, equity options, and opportunities for travel.
- Why this job: Make a direct impact on cutting-edge technology and real-world applications.
- Qualifications: Strong background in computer vision and experience with real-world deployments.
- Other info: Be part of a small, elite team with significant technical ownership.
The predicted salary is between 43200 - 72000 £ per year.
We’re working with an early-stage robotics startup building the AI intelligence layer for industrial robots, enabling them to adapt to the real world rather than follow hard-coded instructions. Their focus is using computer vision and learning-based systems to make robotic arms flexible enough to operate in messy, variable manufacturing environments.
Why this role stands out:
- Own the computer vision & perception stack for real robotic systems
- Work on 3D vision, geometry, calibration, and sensor fusion
- Deploy CV systems into live industrial environments, not labs
- Join a small, elite founding team with huge technical ownership
- Direct impact on hardware, software, and real customer deployments
What you’ll be doing:
- Designing and implementing computer vision pipelines for robotic perception
- Selecting and validating sensing hardware (RGB, stereo, RGB-D, ToF, structured light, laser profiling)
- Aligning real sensor data with CAD models and robot frames
- Extracting geometry, pose, and scene understanding for downstream planning and control
- Making perception systems robust to noise, lighting variation, reflections, and occlusion
What they’re looking for:
- Strong computer vision background with real-world deployment experience
- Solid understanding of geometry, transformations, and multi-view vision
- Exposure to robotics or physical systems (you don’t need to build robots from scratch)
- Comfortable working in early-stage environments with ambiguity and ownership
Salary up to £180k + equity (exceptional profiles higher). London-based, office-first (5 days/week). Occasional travel to US-based industry partners.
Computer Vision Engineer (Robotics) in London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer (Robotics) in London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and computer vision space. Attend meetups, webinars, or even local tech events. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around 3D vision and sensor fusion. Practice explaining complex concepts in simple terms – it shows you really understand your stuff.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Computer Vision Engineer (Robotics) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and robotics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or deployments you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our early-stage startup. Let us know what drives you in the world of robotics!
Showcase Real-World Experience: We’re all about practical application here at StudySmarter. If you’ve deployed computer vision systems in real environments, make sure to detail those experiences. We love seeing how you’ve tackled challenges in messy, variable settings!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Few&Far
✨Know Your Computer Vision Inside Out
Make sure you brush up on your computer vision fundamentals. Be ready to discuss your experience with 3D vision, geometry, and sensor fusion. Prepare examples of how you've deployed CV systems in real-world environments, as this will show your practical understanding.
✨Showcase Your Problem-Solving Skills
Expect to face questions that assess your ability to tackle challenges in messy manufacturing environments. Think of specific instances where you’ve made perception systems robust against noise or lighting variations, and be ready to explain your thought process.
✨Familiarise Yourself with the Hardware
Since you'll be selecting and validating sensing hardware, it’s crucial to know the ins and outs of different types like RGB, stereo, and ToF. Bring along any relevant projects or experiences that highlight your expertise in working with these technologies.
✨Embrace the Ambiguity
This role is in an early-stage startup, so be prepared to discuss how you handle ambiguity and take ownership. Share examples from your past where you thrived in uncertain situations, demonstrating your adaptability and initiative.
