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- Tasks: Design and deploy ML features to scale innovative AI products.
- Company: Exciting AI startup in Greater London with a focus on education.
- Benefits: Competitive salary, equity options, and a 4-day work week.
- Why this job: Join a dynamic team and drive the future of AI in education.
- Qualifications: Strong experience in production ML and proficiency in Python and TypeScript.
- Other info: Modern office near Liverpool St with great growth potential.
The predicted salary is between 80000 - 100000 £ per year.
An innovative AI startup in Greater London is looking for a Machine Learning Engineer to scale their product. This role involves designing and deploying ML features, working primarily with Python and TypeScript, and driving the machine learning strategy.
Candidates should have strong experience in production ML and be excited about start-ups.
The package includes a competitive salary of £80,000 - £100,000 and equity options, with a 4-day work week in a modern office near Liverpool St.
ML Engineer - Greenfield AI for Education, London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer - Greenfield AI for Education, London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those working at startups. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Python and TypeScript. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past experiences in production ML. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way.
We think you need these skills to ace ML Engineer - Greenfield AI for Education, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production ML and showcases your skills in Python and TypeScript. We want to see how you can contribute to our innovative AI solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about working in a start-up environment and how you can help drive our machine learning strategy. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially in the education sector!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Digital Waffle
✨Know Your ML Stuff
Brush up on your machine learning concepts and be ready to discuss your past projects. Be prepared to explain how you designed and deployed ML features, especially using Python and TypeScript, as this will show your technical prowess.
✨Show Your Passion for Start-ups
This role is all about innovation in a start-up environment. Share your enthusiasm for working in fast-paced settings and how you've thrived in similar situations before. Highlight any experience you have with scaling products or driving strategies.
✨Prepare for Technical Questions
Expect some technical challenges during the interview. Practice coding problems related to ML and be ready to solve them on the spot. Familiarise yourself with common algorithms and their applications, as well as any recent advancements in the field.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s vision and future. Inquire about their current ML strategy and how they see it evolving, which will demonstrate your commitment to contributing to their success.
