Cloud Native Machine Learning Architect

6 days ago

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

Company Overview


AWS EMEA SARL (UK Branch) is a leading provider of cloud computing services, offering a wide range of solutions for businesses and organizations.



Salary


The estimated annual salary for this position is £120,000 - £180,000, depending on experience.



Job Description


In this role as Cloud Native Machine Learning Architect, you will be responsible for building technical relationships with customers of all sizes and operating as their trusted advisor. You will ensure they get the most out of the cloud at every stage of their journey in adopting Machine Learning across their organization.


You will manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability, and operational efficiency to accelerate their challenging Machine Learning projects. Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of AWS AI/ML features.



Key Job Responsibilities


In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native Machine Learning reference architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts). You will also evangelize and educate about running Machine Learning workloads on AWS technology (e.g., through workshops, user groups, meetups, public speaking, online videos, or conferences).


If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us. This role is within the EMEA region, and you would be working with strategic public sector customers.



Location


We are open to hiring candidates to work out of one of the following locations: London, GBR.



Required Skills and Qualifications



  • Bachelor's degree in computer science, engineering, mathematics, or equivalent, or experience in a professional field or military
  • Experience in IT development or implementation/consulting in the software or Internet industries
  • Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients
  • ML Engineering or Data Science and In-depth working knowledge and experience of the Artificial Intelligence/Machine Learning technical domain


Preferred Qualifications



  • Knowledge of AWS services, market segments, customer base, and industry verticals
  • Knowledge of software development tools and methodologies
  • Experience designing, building, refactoring, or operating Machine Learning solutions – either on premises or in the Cloud

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