Amazon Delivery Consultant - Machine Learning GenAI ProServe EMEA 

United Kingdom, England 

508979667

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
Collaborate with stakeholders to gather requirements and propose effective migration strategies.Providing technical guidance and troubleshooting support throughout project delivery.Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.About the team
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 AWS
Work/Life BalanceMentorship 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.

3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of cloud architecture and implementation.Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.

AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) preferred.Experience with automation and scripting (e.g., Terraform, Python).Knowledge of security and compliance standards (e.g., HIPAA, GDPR).Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems.