Amazon Senior Machine Learning Engineer AWS Generative AI Innovation Center 

United Kingdom, England, London 

248872716

As a Machine Learning Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor’s degree in computer science, engineering, mathematics or equivalent
- Several years of non-internship experience in professional software development experience
- Several years of years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience coding in Python, R, Matlab, Java or other modern programming language
- Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models
- Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to technical and non-technical audiences, including executive level stakeholders or clients

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, hands-on experience of building ML solutions on AWS