Senior Machine Learning Research Scientist

1 week ago

London, Greater London, United Kingdom AWS EMEA SARL (UK Branch) Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Research Scientist to join our team at the AWS Generative AI Innovation Center in the UK. As an expert in deep learning and generative AI, you will collaborate with cross-functional teams to research, design, develop, and evaluate cutting-edge algorithms that address real-world challenges across industries.

Key Responsibilities
  • Collaborate with ML scientists and architects to research, design, develop, and evaluate state-of-the-art generative AI models.
  • Interact with customers directly to understand their business problems and provide guidance on defining and implementing generative AI solutions.
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solution development.
  • Create and deliver best practice recommendations, scientific artefacts, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders.
About the Team

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. We value diverse experiences and encourage candidates from non-traditional backgrounds to apply.

Why Join Us?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. Our robust suite of products and services enables businesses to innovate and grow at scale. We offer flexible work arrangements, inclusive team culture, mentorship opportunities, and career growth resources.

Required Skills and Qualifications
  • PhD degree in CS, CE, or related technical field or MSc and several years of industry experience.
  • Several years of experience with neural deep learning methods and machine learning.
  • Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch.
  • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to technical and non-technical audiences.
  • Fluency in written and spoken English.
Benefits

We offer competitive salary and benefits, including flexible work hours, work-life balance, and professional growth opportunities. The estimated annual salary for this role is £140,000 - £180,000 depending on experience and qualifications.

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