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 tech scene.
- Benefits: Hybrid work culture, significant ownership, and a vibrant team environment.
- Other info: Join a dynamic team with opportunities for growth in a fast-paced startup.
- Why this job: Shape the future of commerce with innovative technology 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. With a hybrid work culture that promotes collaboration and flexibility, you'll thrive in a high-density talent environment while applying cutting-edge computer vision technologies to real-world challenges. The company is committed to fostering employee growth, offering a unique chance to transition between research and production in a rapidly scaling commerce ecosystem.
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 platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and work on real-world problems. The more prepared you are, the more confident you'll feel during the interview!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets into the right hands quickly.
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 and why you’re a great fit for our team.
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 demonstrate your expertise.
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Models Inside Out
Make sure you can discuss the computer vision models you've worked with in detail. Be prepared to explain how you designed, trained, and deployed them, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product and engineering teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where your input significantly improved a project or product.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss specific real-world problems you've solved using machine learning. Think about how you optimised model performance for high-traffic environments and be ready to share metrics or outcomes that showcase your impact.
✨Stay Current with Trends
Familiarise yourself with the latest trends in computer vision and machine learning frameworks like PyTorch and TensorFlow. Being able to discuss recent advancements or tools will show your passion for the field and your commitment to continuous learning.
