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 working, 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 employer: Block MB
As a Computer Vision Research Engineer at this fast-growing technology business in London, you will be part of a dynamic team that values autonomy and fosters a culture of trust and candour. The company offers meaningful work with real-world impact, opportunities for professional growth through mentorship, and the chance to publish at top venues while deploying cutting-edge solutions at scale, all within a collaborative hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or conferences, and connect with potential colleagues 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 you an edge and demonstrate your expertise beyond just your CV.
✨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 achievements!
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Computer Vision Research Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Computer Vision Research Engineer. Highlight your relevant experience in machine learning and computer vision, and don’t forget to mention any published work at leading conferences or journals!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your skills align with our mission. Be sure to mention specific projects or research that demonstrate your expertise.
Showcase Your Technical Skills:We want to see your technical prowess! Include examples of your Python and PyTorch skills in your application. If you’ve worked on production-quality code, make sure to highlight that as well.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 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 really help you shine here.
✨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 demonstrate that you fit their culture of trust and candour.
