At a Glance
- Tasks: Own the detection pipeline for advanced child safety AI technology.
- Company: SafetyMode - a social impact AI startup protecting children online.
- Benefits: £70k+ salary, equity, and the chance to make a real difference.
- Other info: Join a high-impact founding team with global partnerships.
- Why this job: Work on cutting-edge tech that directly protects thousands of children.
- Qualifications: 2+ years in applied ML with experience in computer vision or NLP systems.
The predicted salary is between 60000 - 84000 £ per year.
Company Description: SafetyMode - Social impact AI startup protecting children online.
Job Description: You will own the entire detection pipeline for the world’s most advanced on-device child safety technology. From dataset strategy and model training to production deployment, you will build real-time AI that identifies harmful content across all smartphone apps. This role offers the unique challenge of balancing high-performance computer vision with strict on-device privacy.
Why this role is remarkable:
- Rare opportunity to own the end-to-end ML capability for a product with a massive social mission and high-profile backing from Sir Tim Berners-Lee and Hugh Grant.
- Work on cutting-edge technical challenges involving real-time, on-device inference (YOLO, Transformers, TFLite) where your code directly protects thousands of children from harm.
- High-impact founding team environment incubated by CanDo, with strategic partnerships including Mumsnet and Nothing Technology to scale globally.
What you will do:
- Design and train robust object detection and transformer-based text classification models to identify various categories of online harm.
- Optimize model architectures for low-latency execution on Android devices using quantization, TFLite, and novel on-device inference strategies.
- Establish rigorous evaluation suites and automated labeling pipelines to continuously reduce false positives in complex, high-noise mobile environments.
The ideal candidate:
- At least 2 years of experience in applied ML with a track record of shipping production-grade computer vision or NLP systems.
- Proficiency in modern detection pipelines (YOLO) and transformer architectures (RoBERTa/ModernBERT), with a deep understanding of precision/recall tuning.
- Hands-on experience with on-device optimization tools like ONNX Runtime or Core ML and a passion for solving ambiguous, high-stakes safety problems.
Machine Learning Engineer (£70k+ + Equity) at SafetyMode in London employer: Jack & Jill/External Ats
SafetyMode is an exceptional employer, offering a unique opportunity to work on cutting-edge AI technology that directly impacts child safety online. With a strong focus on social impact, employees are part of a high-impact founding team that fosters innovation and collaboration, while also providing opportunities for personal and professional growth. The supportive work culture, combined with competitive compensation and equity options, makes SafetyMode an attractive place for those looking to make a meaningful difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (£70k+ + Equity) at SafetyMode in London
✨Tip Number 1
Get to know Jack! He’s your go-to guy for understanding what you bring to the table and what you’re looking for in your next role. A quick chat with him can open doors to opportunities you might not even know about.
✨Tip Number 2
Don’t underestimate the power of networking. Reach out to your connections in the AI and machine learning space. You never know who might have a lead on a role that’s perfect for you, especially in a niche like child safety tech.
✨Tip Number 3
Prepare for your chat with Jack by brushing up on your recent projects and achievements. Be ready to discuss how your experience aligns with the cutting-edge challenges at SafetyMode. This will help you stand out when Jill is considering candidates.
✨Tip Number 4
Make sure to apply through our website! It’s the best way to ensure Jack gets your details directly, and it keeps everything streamlined. Plus, it shows you’re serious about landing that Machine Learning Engineer role.
We think you need these skills to ace Machine Learning Engineer (£70k+ + Equity) at SafetyMode in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and any specific projects you've worked on. We want to see how you’ve tackled challenges in the past, especially in computer vision or NLP.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the skills and experiences that align with the job description. We love seeing candidates who take the time to connect their background to our mission.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website:Remember to apply through our website! It’s the best way for us to get your application into the right hands. Plus, it helps us keep track of all the amazing candidates like you!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques, especially those mentioned in the job description like YOLO and Transformers. Brush up on your knowledge of model training, dataset strategies, and on-device optimisation tools. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around high-stakes safety problems. Think about how you approached these issues and what solutions you implemented. This will demonstrate your ability to tackle complex problems, which is crucial for a role focused on child safety technology.
✨Understand the Company’s Mission
SafetyMode has a strong social impact mission. Familiarise yourself with their goals and values, and be ready to articulate why this mission resonates with you. Showing genuine interest in their work will help you stand out as a candidate who is not only skilled but also passionate about making a difference.
✨Prepare Questions for Your Interviewer
Think of insightful questions to ask Jack during your interview. This could include inquiries about the team dynamics, the future of the technology being developed, or how they measure success in their projects. Engaging in a two-way conversation shows that you’re invested in the role and eager to contribute.
