Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement AI/ML solutions to drive customer success on their cloud journey.
- Company: Join the innovative AWS Professional Services team at Amazon.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make a real impact by solving business problems with cutting-edge AI/ML technology.
- Qualifications: Experience in AWS services, cloud architecture, and strong programming skills required.
- Other info: Diverse experiences welcomed; excellent career growth opportunities in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
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 will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Responsibilities
- Design and develop robust and scalable AI/ML solutions for business problems.
- Interact with customers directly to understand the business problem, helping and aiding them in the implementation of their ML ecosystem.
- Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs.
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts.
- Comfortable working in a fast-paced, highly collaborative, dynamic work environment.
- Share knowledge within the organization through mentoring, training, and creating reusable artifacts.
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 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.
Basic Qualifications
- Experience implementing AWS services in a variety of distributed computing environments.
- 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models.
- 5+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role.
- 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#.
- Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions.
- Strong verbal and written communications skills and ability to lead effectively across organizations in English.
Preferred Qualifications
- 3+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns.
- 3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware.
- Serving ML models through real-time APIs and experience with deploying production-grade machine learning solutions on public cloud platforms.
- Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc.
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
- AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty).
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
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.
Company - AWS EMEA SARL (UK Branch)
Job ID: A3114683
Delivery Consultant - AI/ML, Professional Services, Professional Services in London employer: Amazon Web Services (AWS)
Contact Detail:
Amazon Web Services (AWS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delivery Consultant - AI/ML, Professional Services, Professional Services in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at AWS. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a demo or a mini-project showcasing your AI/ML expertise. This hands-on approach can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts clearly, so practice breaking down your knowledge into bite-sized pieces.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the AWS team.
We think you need these skills to ace Delivery Consultant - AI/ML, Professional Services, Professional Services in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Delivery Consultant role. Highlight your experience with AWS services and AI/ML solutions, as this will show us you understand what we're looking for.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your skills align with our needs. Use specific examples from your past experiences to illustrate your points.
Showcase Your Communication Skills: Since strong communication is key in this role, make sure your application reflects your ability to convey complex ideas clearly. This will help us see how you can interact with customers effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Amazon Web Services (AWS)
✨Know Your AWS Inside Out
Make sure you’re well-versed in AWS services, especially those related to AI/ML like Amazon SageMaker and Bedrock. Brush up on how these tools can solve business problems and be ready to discuss specific use cases or projects where you've implemented them.
✨Showcase Your Communication Skills
Since the role involves interacting with customers, practice explaining complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical stakeholders in the past, as this will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Technical Questions
Expect to dive deep into your technical expertise during the interview. Review your experience with cloud architecture, ML systems, and programming languages like Python. Be ready to discuss how you've handled large datasets and any challenges you've faced in previous roles.
✨Demonstrate Your Collaborative Spirit
AWS values teamwork, so think of examples that highlight your ability to work in a fast-paced, collaborative environment. Share stories about mentoring others or contributing to team projects, as this will show you're a great fit for their dynamic culture.
