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- Tasks: Work on impactful machine learning projects and gain hands-on experience.
- Company: Leading food delivery company with a focus on innovation.
- Benefits: Mentorship from experienced engineers and potential for full-time offer.
- Why this job: Learn how machine learning is applied at scale in a fast-paced environment.
- Qualifications: Passion for machine learning and problem-solving skills.
- Other info: Structured internship program based in London with excellent growth opportunities.
The predicted salary is between 500 - 1500 £ per month.
A leading food delivery company is seeking a Machine Learning Engineer intern to work on impactful projects. Interns will gain hands-on experience in production ML systems and mentorship from experienced engineers. This is a unique opportunity to learn how machine learning is applied at scale. The role is based in London with a structured program offering exposure to problem-solving within a fast-paced environment. There is potential for a full-time offer upon successful completion of the internship.
Applied ML Engineer Intern in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Engineer Intern in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. It’s all about making connections!
✨Tip Number 2
Show off your skills! If you’ve worked on any machine learning projects, make sure to have them ready to discuss. Bring examples of your work to the interview to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical questions! Brush up on your ML concepts and be ready to solve problems on the spot. Practising coding challenges can really help you feel more confident during the interview.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows your enthusiasm and makes it easier for us to track your progress. Don’t miss out on this opportunity!
We think you need these skills to ace Applied ML Engineer Intern in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the role of an Applied ML Engineer Intern. We want to see how your background fits into our fast-paced environment, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any machine learning projects, make sure to include them in your application. We’re keen to see your hands-on experience, so share what you’ve built and the impact it had!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Deliveroo
✨Know Your ML Basics
Brush up on your machine learning fundamentals before the interview. Be ready to discuss algorithms, data preprocessing, and model evaluation metrics. This will show that you have a solid foundation and are eager to learn more.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving production ML systems. Highlight your role, the challenges you faced, and how you solved them. This gives the interviewers insight into your practical experience.
✨Ask Insightful Questions
Come prepared with questions about the company's ML applications and the specific projects you might work on. This demonstrates your interest in the role and helps you understand how you can contribute to their team.
✨Emphasise Adaptability
Since the role is in a fast-paced environment, be ready to discuss how you've adapted to changes or learned new skills quickly in the past. This will reassure them that you can thrive in their dynamic setting.