At a Glance
- Tasks: Lead cutting-edge research in computer vision and machine learning from concept to deployment.
- Company: Fast-growing tech company focused on impactful AI solutions.
- Benefits: High autonomy, hybrid work, and opportunities to publish and mentor.
- Other info: Join a collaborative team and influence the research roadmap.
- Why this job: Tackle hard problems that make a real-world impact while shaping the future of AI.
- Qualifications: PhD or Master's in Computer Vision or Machine Learning with strong coding skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid)
The Company
My client is a fast-growing technology business doing genuinely impactful work, building platforms that make physical environments safer and more intelligent. They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly. The team is high-calibre, operates with autonomy and has a culture built on trust and candour. This is a business where the work matters and the people are given the space to do it well.
The Role
They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer vision and deep learning disciplines. The expectation is to publish at top venues and ship at scale. There is also real scope to shape the research roadmap and mentor junior researchers as the team grows.
Requirements
- PhD, or Master's with equivalent research experience, in Computer Vision, Machine Learning or a related discipline
- Published work at leading conferences or journals is a strong plus
- Deep expertise across one or more computer vision or spatial AI research areas
- Strong Python and PyTorch skills, with the ability to write production-quality code
- Able to work independently, define technical direction and communicate findings clearly
What's in it for you?
- Hard problems with real-world impact
- Publish at top venues and deploy at scale
- High autonomy and direct influence over the research roadmap
- A collaborative, high-calibre team
- Hybrid working
Computer Vision Research Engineer in London employer: Block MB
As a Computer Vision Research Engineer at our fast-growing technology company in London, you will be part of a dynamic team that values autonomy and fosters a culture of trust and candour. We offer meaningful work with real-world impact, opportunities for professional growth through mentorship, and the chance to publish your research at top venues while enjoying the flexibility of hybrid working arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow researchers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your research in detail. Confidence is key, so own your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way.
We think you need these skills to ace Computer Vision Research Engineer in London
Some tips for your application 🫡
Show Off Your Research:Make sure to highlight your research experience, especially any published work. We want to see how you've tackled complex problems in computer vision or machine learning, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. We love seeing candidates who understand our mission and can connect their skills to the specific requirements of the position. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, clarity is key. We appreciate well-structured responses that get straight to the point. Use simple language to explain your technical skills and experiences – we want to understand your journey!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Block MB
✨Know Your Stuff
Make sure you brush up on the latest trends and breakthroughs in computer vision and machine learning. Be ready to discuss your previous research, especially any published work, and how it relates to the role. This shows you're not just knowledgeable but also genuinely passionate about the field.
✨Showcase Your Skills
Prepare to demonstrate your Python and PyTorch skills during the interview. You might be asked to solve a coding problem or discuss your approach to writing production-quality code. Practising common algorithms and data structures can help you feel more confident.
✨Be Ready to Discuss Research Direction
Since this role involves shaping the research roadmap, think about potential research directions you could propose. Be prepared to articulate your ideas clearly and how they could impact the company’s goals. This will show that you can think strategically and independently.
✨Emphasise Collaboration
Highlight your experience working in teams and mentoring others. The company values autonomy but also collaboration, so sharing examples of how you've worked with others or guided junior researchers will resonate well. It shows you can thrive in their culture built on trust and candour.
