At a Glance
- Tasks: Develop cutting-edge ML models for a child-safety app that protects kids online.
- Company: Join a social-impact AI startup backed by industry leaders.
- Benefits: Competitive salary, equity options, and a chance to make a real difference.
- Other info: Work directly with founders and influence the technical direction of impactful projects.
- Why this job: Be part of a mission-driven team tackling important social issues with innovative technology.
- Qualifications: 2+ years in applied ML, experience with YOLO and transformer architectures.
The predicted salary is between 70000 - 70000 £ per year.
Salary: £70k+ + Equity
Company Description: Social-impact AI startup backed by founders of Tide and Mumsnet
Job Description: You will own the end-to-end detection pipeline for a pioneering child-safety app, developing on-device ML models that protect children from harmful content in real-time. By optimizing YOLO-style detection and transformer classifiers for mobile hardware, you will build a privacy-first safety layer that works across every application on a child's smartphone.
Location: London, UK
Why this role is remarkable:
- Work on a high-impact product with a genuine social mission, supported by high-profile figures like Sir Tim Berners-Lee and Hugh Grant.
- Own the entire ML capability from strategy to deployment, reporting directly to the founder with significant influence over technical direction.
- Solve complex on-device inference challenges through a unique partnership with Mumsnet and Nothing Technology to launch child-safe hardware.
What You Will Do:
- Design and train computer vision and NLP models to detect harmful content across varied UI contexts and video feeds.
- Optimize model performance for low-latency, on-device execution using quantization, TFLite, and ONNX Runtime on Android devices.
- Build robust evaluation suites and error-analysis workflows to minimize false positives while maintaining high recall for critical safety scenarios.
The ideal candidate:
- 2+ years of experience in applied ML or research, ideally with a background in object detection (YOLO) and transformer architectures (ModernBERT/RoBERTa).
- Proven ability to ship production-grade ML systems, balancing scientific rigor with the practical trade-offs of a fast-moving startup environment.
- Hands-on expertise in model optimization and threshold tuning, specifically for on-device inference where memory and speed are constrained.
Machine Learning Engineer (£70k+ + Equity) at Social-impact AI startup backed by founders of Ti[...] in London employer: Jack & Jill
Join a pioneering social-impact AI startup in London, where you will play a crucial role in developing cutting-edge technology that safeguards children online. With a strong emphasis on employee growth and innovation, the company fosters a collaborative work culture that encourages creativity and direct influence over impactful projects. Enjoy competitive compensation, equity options, and the opportunity to work alongside industry leaders dedicated to making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (£70k+ + Equity) at Social-impact AI startup backed by founders of Ti[...] in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to social-impact AI. Use platforms like LinkedIn to connect with current employees at the startup and ask for insights or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to computer vision and NLP. This will give you an edge and demonstrate your hands-on expertise in model optimization.
✨Tip Number 3
Prepare for technical interviews by brushing up on YOLO and transformer architectures. Be ready to discuss your past experiences and how they relate to the role. Practice coding challenges that focus on ML algorithms and optimisations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows your genuine interest in the role and the company’s mission.
We think you need these skills to ace Machine Learning Engineer (£70k+ + Equity) at Social-impact AI startup backed by founders of Ti[...] in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and any specific projects you've worked on that relate to child safety or on-device models. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about social impact and how you can contribute to our child-safety app. Share your thoughts on the importance of privacy-first technology and how your background fits into that narrative.
Showcase Your Projects:If you've got any personal projects or contributions to open-source that demonstrate your skills in ML, especially with YOLO or transformers, make sure to include them! We love seeing practical applications of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Jack & Jill
✨Know Your Models Inside Out
Make sure you can discuss your experience with YOLO and transformer architectures in detail. Be prepared to explain how you've optimised models for on-device execution, as this will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex challenges you've faced in ML projects, especially those related to low-latency execution and error analysis. Highlight how you approached these problems and the impact of your solutions.
✨Understand the Social Impact
Familiarise yourself with the mission of the startup and the importance of child safety in tech. Be ready to discuss how your work can contribute to this cause, showing that you're not just technically skilled but also passionate about the mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision, the technical direction of the product, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
