Senior Delivery Consultant - Data & Analytics, AWS Professional Services

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Delivery Consultant in Data & Analytics to join their AWS Professional Services team in London. This role offers a unique opportunity to leverage your expertise in machine learning and cloud technologies to help public sector clients navigate the complexities of AI implementation. You will lead engagements, mentor junior staff, and collaborate with diverse teams to create innovative solutions that enhance customer outcomes. If you are passionate about technology and eager to drive impactful change, this position is perfect for you.

Benefits

Flexible Working Hours

Mentorship Programs

Career Growth Opportunities

Employee-led Affinity Groups

Work-Life Balance Initiatives

Qualifications

• Experience in building large-scale machine learning models.
• Strong communication skills for technical and non-technical audiences.
• Facilitating discussions with senior leadership on technical trade-offs.

Responsibilities

• Lead Data and AI engagements and mentor junior teams.
• Collaborate with sales and support teams for AWS services.
• Deliver custom Data and AI solutions on-site.

Skills

Machine Learning

Deep Learning

Generative AI

Cloud Native Technologies

Communication Skills

Education

Master's Degree in a Quantitative Field

Bachelor's Degree in a Relevant Field

Tools

Python

TensorFlow

Keras

PyTorch

MXNet

Job description

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Senior Delivery Consultant - Data & Analytics, AWS Professional Services, London

Client:

AWS EMEA SARL (UK Branch)

Location:

London, United Kingdom

Job Category:

Consulting

EU work permit required: Yes

Job Reference:

ccece7414010

Job Views:

14

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success?

Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what’s best for the customer and also be valued within as a technical expert?

Amazon Web Services is looking for a skilled and motivated Professional Services Senior Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution.

Candidates will have strong leadership skills to shape Professional Services engagements, a balance of technical and consulting skills and experience to work with business as well as IT leaders, software developers and architects. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs.

You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications. You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity.

Responsibilities include:

1. Leadership - Lead Data and AI engagements alongside the project managers, influencing senior customers, thriving in ambiguity and mentoring junior teams
2. Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, engineering, software design and operations in hybrid environments as well as complex projects at scale.
3. Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations
4. Delivery - Engagements will include onsite projects delivering custom Data and AI solutions, and proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations.
5. Insights - Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector
6. Push the envelope – Computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges

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.

BASIC QUALIFICATIONS

• Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
• Experience in data and machine learning engineering and cloud native technologies
• Strong experience communicating across technical and non-technical audiences
• Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Eligibility for the UK Security Clearance

PREFERRED QUALIFICATIONS

• Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
• Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
• Experience with software development life cycle (sdlc) and agile/iterative methodologies
• Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet