At a Glance
- Tasks: Design and deploy cutting-edge computer vision models for a next-gen marketplace.
- Company: Exciting VC-backed startup in the heart of London’s Shoreditch.
- Benefits: Hybrid work culture, significant technical ownership, and a vibrant team environment.
- Other info: Join a high-growth team and transition between research and production seamlessly.
- Why this job: Shape the future of commerce with innovative ML solutions and real-world impact.
- Qualifications: Expertise in computer vision and experience with ML frameworks like PyTorch or TensorFlow.
The predicted salary is between 60000 - 80000 € per year.
VC-backed London startup building a next-generation marketplace platform.
You will join a high-growth London team to spearhead the implementation of advanced computer vision models. As a key technical hire, you will bridge the gap between data science and product, developing visual search, verification, or merchandising systems that redefine the user experience within a rapidly scaling commerce ecosystem.
Location: London, UK
Why this role is remarkable:
- Significant technical ownership to shape the vision strategy of a scaling marketplace platform from an early stage.
- Work in a high-density talent environment located in the heart of Shoreditch with a hybrid 3-4 day office culture.
- Opportunity to transition between research and production, applying cutting‐edge CV models to real-world consumer problems.
What You Will Do:
- Design, train, and deploy computer vision models for applications such as object detection, image verification, or automated merchandising.
- Collaborate with product and engineering teams to integrate ML features into the core platform to drive user engagement.
- Optimize model performance and scalability to handle high-traffic commerce environments and diverse visual datasets.
The ideal candidate:
- Proven expertise in computer vision technologies, including experience with object detection, image classification, or visual search.
- Strong background as a Machine Learning Engineer or Data Scientist with a track record of moving models into production.
- Proficiency in modern ML frameworks such as PyTorch or TensorFlow and a desire to work in a fast‐paced startup environment.
Machine Learning Engineer at VC-backed London marketplace startup employer: Jack & Jill
Join a dynamic and innovative VC-backed startup in the heart of Shoreditch, where you'll have the opportunity to take significant technical ownership and shape the future of a next-generation marketplace platform. Our collaborative work culture fosters creativity and growth, offering you the chance to transition between research and production while applying cutting-edge computer vision models to real-world challenges. With a hybrid working model and a focus on employee development, this is an exciting place for those looking to make a meaningful impact in a rapidly scaling environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer at VC-backed London marketplace startup
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at startups. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and ML concepts. Websites like LeetCode or HackerRank are great for this. Remember, they want to see how you think and solve problems, so be ready to explain your thought process!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience with ML frameworks like PyTorch or TensorFlow, and don’t forget to mention your passion for working in a fast-paced startup environment.
We think you need these skills to ace Machine Learning Engineer at VC-backed London marketplace startup
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with computer vision technologies and ML frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our marketplace platform. Let us know what makes you tick in the world of machine learning.
Showcase Your Projects:If you've worked on any cool projects related to object detection or image verification, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that highlight your achievements.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest computer vision technologies. Brush up on your experience with object detection, image classification, and visual search. Be ready to discuss specific projects where you've successfully implemented these models.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world consumer problems you've tackled using machine learning. Think of examples where you designed, trained, and deployed models that made a significant impact. This will demonstrate your ability to bridge the gap between data science and product.
✨Familiarise Yourself with the Company
Research the startup’s marketplace platform and understand its vision and strategy. Knowing their goals will help you tailor your answers and show how your skills can contribute to their growth. Plus, it’ll impress them that you’ve done your homework!
✨Be Ready for Technical Questions
Expect some deep dives into your technical expertise, especially around ML frameworks like PyTorch or TensorFlow. Practice explaining complex concepts in simple terms, as you may need to collaborate with non-technical teams. Clear communication is key!
