Senior Data Science Consultant, AWS Professional Services
Job Description
As a Senior Data Science & AI 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 Generative AI, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.Key job responsibilities1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice6. Influence customer AI strategy through technical expertise and industry insights7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions8. Provide thought leadership in internal and external engagements9. Support pre-sales activities to provide technical expertise and review project scoping and risksThis 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 a UK national and 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-levelsAbout the teamDiverse ExperiencesAWS 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.Inclusive Team CultureHere 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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 BalanceWe 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.
Locations
- United Kingdom, BST, Bristol, Bristol, BST, United Kingdom
- United Kingdom, London, London, England, United Kingdom
- United Kingdom, Cambridge, Cambridge, England, United Kingdom
- United Kingdom, Manchester, Manchester, England, United Kingdom
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Strong experience in building large scale machine learning or deep learning models and in Generative AI model developmentintermediate
- - Experience in data and machine learning engineering and cloud native technologiesintermediate
- - Strong experience communicating across technical and non-technical audiencesintermediate
- - Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigationintermediate
Required Qualifications
- - Strong experience in building large scale machine learning or deep learning models and in Generative AI model development (experience)
- - Experience in data and machine learning engineering and cloud native technologies (experience)
- - Strong experience communicating across technical and non-technical audiences (experience)
- - Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation (experience)
- - Eligibility for the UK Security Clearance (experience)
Preferred Qualifications
- - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science (degree in a quantitative field such as statistics)
- - Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3) (experience)
- - Experience with software development life cycle (sdlc) and agile/iterative methodologies (experience)
- - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet (experience)
Responsibilities
- 1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
- 2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
- 3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
- 4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
- 5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
- 6. Influence customer AI strategy through technical expertise and industry insights
- 7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
- 8. Provide thought leadership in internal and external engagements
- 9. 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 a UK national and 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
- 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.
- 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.
- 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
- 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
- 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.
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Senior Data Science Consultant, AWS Professional Services
Job Description
As a Senior Data Science & AI 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 Generative AI, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.Key job responsibilities1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice6. Influence customer AI strategy through technical expertise and industry insights7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions8. Provide thought leadership in internal and external engagements9. Support pre-sales activities to provide technical expertise and review project scoping and risksThis 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 a UK national and 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-levelsAbout the teamDiverse ExperiencesAWS 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.Inclusive Team CultureHere 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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 BalanceWe 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.
Locations
- United Kingdom, BST, Bristol, Bristol, BST, United Kingdom
- United Kingdom, London, London, England, United Kingdom
- United Kingdom, Cambridge, Cambridge, England, United Kingdom
- United Kingdom, Manchester, Manchester, England, United Kingdom
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Strong experience in building large scale machine learning or deep learning models and in Generative AI model developmentintermediate
- - Experience in data and machine learning engineering and cloud native technologiesintermediate
- - Strong experience communicating across technical and non-technical audiencesintermediate
- - Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigationintermediate
Required Qualifications
- - Strong experience in building large scale machine learning or deep learning models and in Generative AI model development (experience)
- - Experience in data and machine learning engineering and cloud native technologies (experience)
- - Strong experience communicating across technical and non-technical audiences (experience)
- - Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation (experience)
- - Eligibility for the UK Security Clearance (experience)
Preferred Qualifications
- - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science (degree in a quantitative field such as statistics)
- - Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3) (experience)
- - Experience with software development life cycle (sdlc) and agile/iterative methodologies (experience)
- - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet (experience)
Responsibilities
- 1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
- 2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
- 3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
- 4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
- 5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
- 6. Influence customer AI strategy through technical expertise and industry insights
- 7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
- 8. Provide thought leadership in internal and external engagements
- 9. 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 a UK national and 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
- 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.
- 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.
- 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
- 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
- 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.