Sr Delivery Consultant (AI/ML), Professional Services

Amazon Jobs; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm in London is seeking a skilled Delivery Consultant to join their AWS team. In this role, you will design and implement AWS solutions to meet customer needs and achieve their business objectives while mentoring team members. The ideal candidate will have over 8 years of experience in consulting, with a deep understanding of AI/ML workloads and AWS services, and will excel in communicating complex concepts to non-experts. The position offers opportunities for career growth and a collaborative environment.

Benefits

Mentorship opportunities

Career growth resources

Work-life balance

Qualifications

• 8+ years of consulting experience with Data and AI/ML solutions.
• Experience with machine learning, deep learning, NLP, and distributed training.
• AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate) preferred.

Responsibilities

• Design and develop scalable AI solutions for business problems.
• Interact with customers to understand business issues and implement solutions.
• Mentor and develop team members.

Skills

AWS products and services understanding

Architecting complex solutions

Customer interaction and proposal creation

Data analysis and automation

Communication in technical and business settings

Education

Bachelor’s degree in Computer Science, Engineering or equivalent

Tools

AWS services (SageMaker, Bedrock, EMR, S3, EC2)

Automation and scripting tools (Terraform, Python)

Terraform

Python

Job description

Job Overview

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll 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. 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.

The AWS Professional Services organization is a global team of experts that helps 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 that help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, covering a variety of solutions, technologies, and industries.

Key Responsibilities

• Design and develop robust and scalable AI solutions for business problems.
• Interact with customers directly to understand the business problem and help implement their ML ecosystem.
• Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet customer performance needs.
• Analyze and extract relevant information from large amounts of historical data to automate and optimize key processes.
• Communicate complex mathematical concepts and considerations to non-experts with strong attention to detail.
• Work comfortably in a fast‑paced, highly collaborative, dynamic work environment.
• Mentor and develop team members.

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, related field, or equivalent experience.
• 8+ years of consulting experience working with Data and AI/ML solutions.
• 8+ years of experience developing long‑term strategies around product or solution roadmaps 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 have 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).

A Day in the Life

Employees at AWS come from diverse backgrounds, and we value those diverse experiences. Even if you do not meet all of the preferred qualifications, we encourage you 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?

• Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform.
• We pioneer cloud computing and never stop innovating, powering businesses from startups to Global 500 companies.
• Our inclusive team culture fosters curiosity, learning, and collaboration.
• We provide mentorship, career growth resources, and learning experiences.
• We value work‑life balance and flexibility as part of our working culture.

Career Growth & Culture

We are continuously raising our performance bar. You’ll find endless knowledge‑sharing and mentorship opportunities that help you develop into a well‑rounded professional. Our affinity groups, events, and learning experiences empower us to celebrate our differences and embrace our uniqueness.

Legal & Privacy

Amazon is an equal‑opportunity employer. We believe passionately that a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. 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 your personal data.

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

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.