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- Tasks: Design and deploy ML features for a cutting-edge educational platform.
- Company: Exciting AI start-up with strong funding and rapid user growth.
- Benefits: Competitive salary, equity options, and a 4-day work week.
- Why this job: Join early to shape the future of AI in education and make a real impact.
- Qualifications: Experience in building ML models and proficiency in Python; TypeScript knowledge is a plus.
- Other info: Collaborate with experienced founders in a dynamic, innovative environment.
The predicted salary is between 80000 - 100000 £ per year.
An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team.
What you'll be doing:
- Designing, building and deploying ML-powered features across a production platform
- Working across Python and TypeScript, integrating models into scalable, real-time systems
- Fine-tuning and training NLP models using techniques like transformers
- Driving the machine learning strategy and building best practices from the ground up
- Collaborating closely with product, engineering, and leadership
What we're looking for:
- Strong commercial experience building and deploying ML models in production
- Proficiency in Python and familiarity with TypeScript/JavaScript
- Experience with NLP or recommendation systems is a bonus
- Excited by start-ups: product-minded, hands-on, and motivated by impact
What's on offer:
- £80,000 - £100,000 salary + meaningful equity
- 4 days/week in a modern London office near Liverpool St
- Greenfield ML ownership with direct access to founding team
- A chance to shape the future of an AI product already loved by users
Machine Learning Engineer employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and NLP. We want to see your work in action, so don’t be shy about sharing links or even presenting your projects during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. We recommend practicing common algorithms and data structures, as well as being ready to discuss your past experiences in deploying models. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love candidates who take the initiative to engage directly with us. Let’s make this happen together!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our job description. Highlight your experience with ML models, Python, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and education, and explain why you're excited about joining our start-up. Let us know how your background aligns with our goals and what unique perspective you bring.
Showcase Your Projects: If you've got any personal or professional projects related to machine learning, make sure to mention them! We love seeing practical applications of your skills, especially if they involve NLP or real-time systems. It gives us a glimpse into your hands-on experience.
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 shows us you’re keen to be part of our journey from the get-go!
How to prepare for a job interview at Digital Waffle
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around deploying models in production. Be ready to discuss your past projects and how you've tackled challenges in building and fine-tuning ML models.
✨Show Off Your Coding Skills
Since the role involves Python and TypeScript, practice coding problems in these languages. You might be asked to solve a problem on the spot, so being comfortable with both will give you an edge.
✨Understand Their Product
Dive deep into the company’s platform and think about how you can contribute to their mission of transforming educational content. Prepare some ideas on how you could enhance their ML features or improve user experience.
✨Be Ready to Collaborate
This role requires close collaboration with various teams. Think of examples from your past experiences where you successfully worked with product managers or engineers. Highlight your teamwork skills and how you can drive the machine learning strategy together.
