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.
Back to all jobs
See Open Roles
Learn about Jack
This job is no longer actively hiring. Open Roles to see active jobs.
Machine Learning Engineer at Teamcando
Join a mission-driven startup building the world's most advanced on-device child safety technology. Backed by the founder of Tide Business Bank and partnered with Mumsnet, this role offers the rare chance to lead an entire ML capability. You will architect real-time AI that protects children from harmful content across all apps while keeping data strictly private. If you're a builder who wants to apply cutting-edge CV and NLP research to a problem that matters—supported by figures like Sir Tim Berners-Lee—this is your opportunity to own a critical technical roadmap from day one.
Want to apply for this role?
This role is no longer actively hiring, but Jack can still help you discover similar open roles that fit.
Location
London, United Kingdom
Compensation
£70k + + Equity
Company
Teamcando
Role overview
Other
CanDo is a company that develops and tests innovative ideas to address social issues, such as the housing crisis by encouraging homeowners to take lodgers. They research social problems, create plans, project manage execution, build websites and apps using no-code and coding platforms, and work on entrepreneurial initiatives for profit and not-for-profit ventures.
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.
Who this is a fit for
- 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.
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.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Teamcando wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.