Amazon
Senior AI/ML Consultant, AWS Professional Services
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Senior AI/ML Consultant in AWS Professional Services
As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.
Key Job Responsibilities
- Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
- Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
- Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
- Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
- Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
- Influence customer AI strategy through technical expertise and industry insights
- Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
- Provide thought leadership in internal and external engagements
- Support pre-sales activities to provide technical expertise and review project scoping and risks
This role will be based in our AWS offices in London, Manchester, Bristol or Cambridge, when not at the Customer site.
NB: You will need to be able to obtain and maintain a UK Government Security Clearance. Further details found here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels
About the Team
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Basic Qualifications:
- Bachelor's degree, or experience in a professional field or military
- Experience as technical specialist in design and architecture
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience in external or internal customer facing, complex and large scale project management
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
- Experience in data and machine learning engineering and cloud native technologies
- Eligibility for the UK Security Clearance
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Preferred Qualifications:
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
- Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience creating and delivering written and oral communications for technical and non-technical audiences
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
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 (https://www.amazon.jobs/en/privacy_page) 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.
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