Sr Applied Scientist Supply Chain Optimization jobs at Amazon in United Kingdom, London

The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds’ leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups 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. We’re looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
* Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities* Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience
* Provide customer and market feedback to product and engineering teams to help define product direction
* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagementsAbout the team
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & Career GrowthWe’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.Work/Life Balance

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Experience in patents or publications at peer-reviewed conferences or journals

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. You’ll 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.For this role, Spanish and English bilingual speakers are preferred, but not required.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.Mentorship & 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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer, with at least 1+ year experience with any of the following platforms: Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce.
- 5+ years experience designing and implementing at least 2 of the following contact center solutions: IVR, chat, custom reporting, quality management, agent desktop, or workforce management
- 3+ years experience in Software development/DevOps, with minimum of 3 successful deployments integrating contact center platforms with at least 2 of the following: bots, APIs, web services, or databases

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer 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
- Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills
- Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation.

Key job responsibilities
As a Data Science Intern, you will have following key job responsibilities:• Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems.
• Work on an interdisciplinary team on customer-obsessed research• Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide
• Build and deploy Machine Learning models using large data-sets and cloud technology.
• Create and share with audiences of varying levels technical papers and presentations
• Define metrics and design algorithms to estimate customer satisfaction and engagement
A day in the life• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year

- Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields
- Speak, write, and read fluently in English

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. You’ll 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.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.Mentorship & 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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Experience working with external or internal customers to implement large-scale solutions
- 5+ years of experience designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment
- Coding (Python, Javascript/Typescript, Java, etc) experience integrating voice or chat bots with contact center platforms, APIs, web services, or databases

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Familiarity with Amazon Lex capabilities, benefits, conversation design, and required deployment skills
- Experience incorporating generative AI into voice or chat bots to answer questions or drive self-service experiences, including model selection and integration, prompt engineering, and data preparation.

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. You’ll 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.Key job responsibilities
As an experienced technology professional, you will be responsible for:A day in the life
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.Mentorship & 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, related field, or equivalent experience.
- 8+ years of consulting experience working with Data and AI/ML solutions and 8 + years of experience in developing long-term strategies around product/ solution roadmap with execution programs to deliver on envisioned strategy.
- Recent and demonstrable hands-on experience with AI/ML workloads related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- Ability to create compelling customer proposals and executive-level presentation skills. Able to communicate effectively in English, within technical and business settings.

- AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2). AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)
- Working knowledge of AI/ML, generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models.
- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR).

Key job responsibilities• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools
• Build and deliver high quality data sets to support data scientists and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Translate basic business problem statements into analysis requirements.
• Use analytical and statistical rigor to answer business questions and drive business decisions.
• Find and create ways to measure the customer experience to drive business outcomes.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
• Troubleshoot operational quality issues.Diverse Experiences
AWS 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.Mentorship & 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.Work/Life Balance

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with data visualization using Tableau, Quicksight, or similar tools

- Experience managing, analyzing and communicating results to senior leadership

Key job responsibilities
• Team Leadership and Development: Build and lead a dedicated Digital Sovereignty specialist sales team comprising both partner and customer sales specialists. Drive operational excellence and strengthen strategic alignment across all Digital Sovereignty sales efforts. Provide coaching, mentoring, and guidance to drive performance and professional growth.• Strategic Engagement and Influence: Drive strategic relationships with C-level executives and technical decision-makers. Act as a trusted advisor to provide sovereign cloud expertise and value propositions. Take a leadership role proposing and closing large deals.• Strategic Planning and Analysis: Contribute to the development of multi-year strategic roadmaps. Analyze market trends and customer feedback to inform strategy and collaborate with BI/Sales operations to leverage data insights for decision-making.
• Cross-functional Collaboration: Drive alignment across multiple stakeholder groups and facilitate effective communication and collaboration between different business units.
• Business Growth and Innovation: Identify and develop new business opportunities through influence and expertise. Provide thought leadership in sovereign cloud solutions and support sales teams in complex deal structures and negotiations.
• Operational Excellence: Drive best practices and process improvements while ensuring alignment with compliance and regulatory requirements. Contribute to the development of scalable approaches for business growth.
• Stakeholder Management Build and maintain strong relationships with internal and external stakeholders. Demonstrate AWS leadership principles in all interactions while maintaining effective communication channels across all levels.About the team
Diverse Experiences
AWS 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.Mentorship & 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.Work/Life Balance

- 8+ years of sales experience
- Proven experience in complex enterprise sales
- Experience managing teams to achieve significant revenue targets ($200M+)
- Experience of develop long-term strategic relationships with key accounts
- Experience analyzing data and best practices to assess performance drivers
- Experience planning, managing and closing competitive sales efforts and managing deals from negotiation, to closing and through delivery
- Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business
- A proven track record of implementing, delivering large projects and communicating effectively at executive level

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