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For Companies At a Glance
- Tasks: Design and develop cutting-edge machine learning solutions for real-world challenges.
- Company: Join Amazon, a leader in innovation and technology.
- Benefits: Competitive stipend, mentorship, networking opportunities, and potential for publication.
- Why this job: Make a global impact while growing your skills in a dynamic environment.
- Qualifications: Pursuing a Master's or PhD in relevant fields with programming experience.
- Other info: Internships available across EMEA; not remote.
The predicted salary is between 500 - 1500 £ per month.
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!
We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture.
The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
A day in the life at Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
Some more benefits of an Amazon Science internship include:
- All of our internships offer a competitive stipend/salary
- Interns are paired with an experienced manager and mentor(s)
- Interns receive invitations to different events such as intern program initiatives or site events
- Interns can build their professional and personal network with other Amazon Scientists
- Interns can potentially publish work at top tier conferences each year
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may be available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). Please note these are not remote internships.
BASIC QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience implementing algorithms using toolkits and self-developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms
2026 Applied Scientist Intern, Amazon University Talent Acquisition in London employer: AWS EMEA SARL (UK Branch) - F93
Contact Detail:
AWS EMEA SARL (UK Branch) - F93 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Applied Scientist Intern, Amazon University Talent Acquisition in London
✨Tip Number 1
Network like a pro! Reach out to current or former Amazon interns and employees on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. We all know that a good connection can sometimes make all the difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and algorithms. Use platforms like LeetCode or HackerRank to practice. Remember, we want to see how you think through problems, so talk us through your thought process during the interview!
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your studies, be ready to discuss what you've built and the impact it had. We love seeing your passion for machine learning and AI, so let it shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our internship events and webinars; they’re a great way to learn more about Amazon and meet potential teammates!
We think you need these skills to ace 2026 Applied Scientist Intern, Amazon University Talent Acquisition in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see how excited you are about tackling complex problems and contributing to innovative solutions at Amazon.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the internship role. We’re looking for specific examples of your work in programming, algorithms, or any projects that showcase your expertise in the field.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this internship. Share your research interests, any publications, and how you envision contributing to Amazon Science. Keep it engaging and personal!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensure they get into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at AWS EMEA SARL (UK Branch) - F93
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, deep learning, and any specific technologies mentioned in the job description. Be ready to discuss your experience with programming languages like Java, C++, or Python, and how you've applied them in your projects.
✨Showcase Your Projects
Prepare to talk about your past projects, especially those related to algorithms, models, or any technical solutions you've developed. Highlight any publications or presentations at conferences, as this will demonstrate your commitment and expertise in the field.
✨Understand Amazon's Culture
Familiarise yourself with Amazon's customer-focused culture and how it influences their approach to science and technology. Think about how your values align with theirs and be ready to share examples of how you've worked in diverse teams to solve complex problems.
✨Ask Insightful Questions
Prepare thoughtful questions to ask your interviewers about the team, projects, and the internship experience. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
