Delivery Consultant – (AIML), ProServe UKI, Professional Services

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact The Amazon Web Services Professional Services (ProServe) team at AWS helps AWS customers implement AI/ML Generative AI solutions and realize transformational business opportunities for AWS customers across industry this role youll work closely with customers to design implement and scale AWS solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders to gather requirements assess current infrastructure and propose effective migration strategies to AWS. As trusted advisors to our customers providing guidance on industry trends emerging technologies and innovative solutions you will be responsible for leading the implementation process ensuring adherence to best practices optimizing performance and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices which cover a variety of solutions technologies and industries.


Key job responsibilities
As an experienced technology professional you will be responsible for:

1. Designing and implementing complex scalable and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 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.
- Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts.
- Bachelors degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science.
- Knowledge of data modelling 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.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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