At a Glance
- Tasks: Design and deploy machine learning features for innovative AI-driven educational products.
- Company: Exciting AI start-up in the heart of London with a dynamic team.
- Benefits: Ownership of projects, influence on tech roadmap, and modern office environment.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in the AI space while working with experienced founders.
- Qualifications: Strong experience with ML models and a passion for start-ups.
The predicted salary is between 60000 - 80000 £ per year.
An innovative AI start-up in the United Kingdom is looking for a Machine Learning Engineer to design and deploy ML features. This role offers the chance to work closely with experienced founders and a senior engineering team, influencing the technical roadmap.
The ideal candidate has strong experience with ML models and is excited about start-ups. The position provides opportunities for ownership and direct impact on AI-driven educational products, working in a modern London office near Liverpool St.
Machine Learning Engineer — Greenfield NLP, 4D Week, London employer: Digital Waffle
Digital Waffle is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the energy sector. Employees benefit from ongoing professional development opportunities, competitive compensation, and a commitment to sustainability, making it a rewarding place to contribute to the UK's critical infrastructure. Join us to be part of a team that values your expertise and empowers you to make a meaningful impact on the future of energy security.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer — Greenfield NLP, 4D Week, London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at start-ups. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to NLP. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes put you ahead of the competition. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Engineer — Greenfield NLP, 4D Week, London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just skilled but also genuinely excited about the impact of your work in the educational sector.
Tailor Your Experience:Make sure to highlight your relevant experience with ML models in your application. We’re looking for someone who can design and deploy features, so be specific about your past projects and how they relate to what we do at StudySmarter.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Digital Waffle
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models in detail. Be prepared to explain how you've applied them in past projects, especially in NLP. This will show your depth of knowledge and passion for the field.
✨Show Your Start-Up Spirit
Since this is a start-up environment, demonstrate your enthusiasm for innovation and adaptability. Share examples of how you've thrived in fast-paced settings or contributed to projects where you had to wear multiple hats.
✨Prepare Questions About the Technical Roadmap
Come equipped with thoughtful questions about the company's technical direction and how you can contribute. This shows that you're not just interested in the role but also in shaping the future of their AI-driven products.
✨Highlight Ownership and Impact
Be ready to discuss instances where you've taken ownership of projects and made a significant impact. This aligns perfectly with the role's emphasis on ownership and influence within the team.
