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- Tasks: Join a team developing cutting-edge AI solutions for Amazon Studios to enhance video content.
- Company: Amazon Studios creates original content for Prime Video, transforming how millions enjoy entertainment.
- Benefits: Enjoy hybrid work options, collaborate with top engineers, and access unique learning opportunities.
- Why this job: Shape the future of movies and TV while working on innovative projects that impact global audiences.
- Qualifications: Experience in software development, machine learning, and programming languages like Java or C++ required.
- Other info: Contribute to top-tier publications and collaborate with leading universities and teams across Amazon.
The predicted salary is between 48000 - 84000 £ per year.
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Client:
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
a91c2c7e2fa6
Job Views:
50
Posted:
24.06.2025
Expiry Date:
08.08.2025
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Job Description:
Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world’s leading digital video services, and we’re just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing and Premier League football.
Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon’s Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights.
Do you like inventing, growing and learning from world-class engineers and scientists? If so, we want to hear from you!
This a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights.
The solutions we\’re building are demanding. Collaborating with teams across Amazon and world leading universities we create novel algorithms to automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, computer vision and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we\’re also utilising techniques such as contextual understanding and correction, to ensure the highest levels of video quality for our customers. The range of problems we have to solve in our space, and the enormous potential to positively impact Amazon Studios\’ ability to scale, provides a breath of opportunities for MLEs to grow and develop their skills.
Key job responsibilities
You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also contribute to publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We\’re looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.
About the team
The team is based in Amazon\’s engineering centre in London and consists of engineers with a variety of backgrounds, from seasoned Amazonian to newly hired; a mix of applied scientists, AWS experts and generalists, but all of us are learning and growing. We work closely with other Prime Video engineering and science teams, including teams based on the US west coast as well as in London.
BASIC QUALIFICATIONS
– Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
– Experience in professional, non-internship software development
– Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
– Experience in one or more of the following: machine learning, multimodal models, computer vision, natural language processing and audio/signal processing.
PREFERRED QUALIFICATIONS
– Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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Machine Learning Engineer, Amazon Studios AI Lab employer: Amazon Development Centre (London) Limited
Contact Detail:
Amazon Development Centre (London) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Amazon Studios AI Lab
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI, particularly in areas like computer vision and natural language processing. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or meetups. Engaging with others who work at Amazon or in similar roles can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your projects on platforms like GitHub or personal websites. Highlight any algorithms or systems you've developed that relate to the job description, as this demonstrates your practical experience and passion for the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions. Focus on languages mentioned in the job description, such as Java or C++, to ensure you're ready to demonstrate your skills effectively.
We think you need these skills to ace Machine Learning Engineer, Amazon Studios AI Lab
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Machine Learning Engineer position at Amazon Studios AI Lab. Understand the key responsibilities and required qualifications to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in software development and machine learning. Mention specific projects or roles where you contributed to algorithm design, programming in languages like Java or C++, and any relevant work in computer vision or natural language processing.
Showcase Your Skills: Include examples of your analytical abilities and problem-solving skills. If you've worked on cross-functional teams or dealt with ambiguity in past projects, be sure to highlight these experiences to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for shaping the future of movies and television. Discuss how your innovative ideas can contribute to Amazon Studios' mission and mention any relevant publications or research.
How to prepare for a job interview at Amazon Development Centre (London) Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Java, C++, or C#. Highlight specific projects where you've implemented machine learning algorithms or worked on computer vision tasks. This will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your analytical skills. Prepare examples of how you've tackled complex problems in previous roles, particularly those involving ambiguity. This will show your ability to think critically and adapt in challenging situations.
✨Familiarise Yourself with Amazon's Culture
Research Amazon's leadership principles and be ready to discuss how they align with your own values and work ethic. Understanding the company's culture will help you articulate why you're a good fit for the team and how you can contribute to their goals.
✨Prepare for Collaborative Discussions
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaborative environments. Share examples of successful teamwork and how you’ve communicated complex ideas to non-technical stakeholders, showcasing your interpersonal skills.
