Delivery Consultant – (AI/ML), ProServe UKI, Professional Services

Amazon; City Of London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading cloud services provider seeks a Delivery Consultant to work with AI and ML solutions. You will design and implement scalable AWS solutions tailored to customer needs, provide technical guidance, and act as a trusted advisor on industry trends. The ideal candidate has over 3 years of experience in AI/ML and a strong background in AWS technologies. This position is based in London and supports a diverse work culture with opportunities for mentorship and career growth.

Benefits

Mentorship programs

Flexible working culture

Diversity and inclusion initiatives

Qualifications

• 3+ years of experience in AI/ML and data querying.
• Proven track record in designing end-to-end ML solutions.
• Knowledge of data modeling principles.

Responsibilities

• Design and implement complex AWS solutions tailored to customer needs.
• Provide technical guidance throughout project delivery.
• Act as a trusted advisor to customers.

Skills

AI and ML experience

Data querying languages (e.g. SQL)

Scripting languages (e.g. Python)

Statistical analysis methodologies

Communication skills

Education

Bachelor's degree in statistics, mathematics, data science, or related field

Tools

AWS services (e.g., SageMaker, EC2)

Job description

Delivery Consultant – (AI/ML), ProServe UKI, Professional Services

Job ID: 3131387 | AWS EMEA SARL (UK Branch)

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 verticals. In this role, you'll work closely with customers to design, implement, and scale 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 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

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Providing technical guidance and troubleshooting support throughout project delivery
• Collaborating with stakeholders to gather requirements and propose effective migration strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• 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

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s 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

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.

Basic Qualifications

• 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.
• Bachelor's 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.

Preferred Qualifications

• 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.

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