172 Aws Solutions Architect jobs in the United Kingdom

Description

As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.



AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.



This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.



You'll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.



Key job responsibilities

1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products



2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey



3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions



4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community



5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience



6. External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent



About the team

AWS Values Your Experience

We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.



Why AWS?

As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.



Inclusive Culture

Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.



Professional Development

As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.



Work/Life Harmony

Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.

Basic Qualifications

- Experience in technology/software sales, pre-sales, or consulting

- Bachelor's degree

- 5+ years design/implementation/consulting experience for specific technology domain areas like (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience

- 3+ years management of technical, customer facing resources

- 3+ years of years of experience in a Data & AI related field

- 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.

- 3+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.

Preferred Qualifications

- Experience working within software development or Internet-related industries

- Experience migrating or transforming legacy customer solutions to the cloud

- Experience working with AWS technologies from a dev/ops perspective

- AWS ML Specialty certification

- 3+ years of AWS infrastructure architecture, security,database architecture and networking experience

- Experience working with end user or developer communities

- Knowledge of software development tools and methodologies

- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional)



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.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description

As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.



AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.



This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.



You'll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.



Key job responsibilities

1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products



2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey



3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions



4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community



5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience



6. External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent



About the team

AWS Values Your Experience

We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.



Why AWS?

As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.



Inclusive Culture

Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.



Professional Development

As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.



Work/Life Harmony

Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.

Basic Qualifications

- Experience in technology/software sales, pre-sales, or consulting

- Bachelor's degree

- 5+ years design/implementation/consulting experience for specific technology domain areas like (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience

- 3+ years management of technical, customer facing resources

- 3+ years of years of experience in a Data & AI related field

- 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.

- 3+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.

Preferred Qualifications

- Experience working within software development or Internet-related industries

- Experience migrating or transforming legacy customer solutions to the cloud

- Experience working with AWS technologies from a dev/ops perspective

- AWS ML Specialty certification

- 3+ years of AWS infrastructure architecture, security,database architecture and networking experience

- Experience working with end user or developer communities

- Knowledge of software development tools and methodologies

- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional)



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.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.
This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.
You'll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.
Key job responsibilities
1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products
2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey
3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions
4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community
5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience
6. External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent
About the team
AWS Values Your Experience
We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.
Why AWS?
As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.
Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.
Professional Development
As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.
Work/Life Harmony
Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.
Basic Qualifications
- Experience in technology/software sales, pre-sales, or consulting
- Bachelor's degree
- 5+ years design/implementation/consulting experience for specific technology domain areas like (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience
- 3+ years management of technical, customer facing resources
- 3+ years of years of experience in a Data & AI related field
- 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
- 3+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.
Preferred Qualifications
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- AWS ML Specialty certification
- 3+ years of AWS infrastructure architecture, security,database architecture and networking experience
- Experience working with end user or developer communities
- Knowledge of software development tools and methodologies
- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional)
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.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description

AWS is seeking a Senior GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.



This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.



You'll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.



Key job responsibilities

1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products



2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey



3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions



4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community



5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience



6. External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent



About the team

AWS Values Your Experience

We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.



Why AWS?

As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.



Inclusive Culture

Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.



Professional Development

As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.



Work/Life Harmony

Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.

Basic Qualifications

- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

- Bachelor's degree

- 8+ years design/implementation/consulting experience for specific technology domain areas like (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience

- 5+ years management of technical, customer facing resources

- 5+ years of years of experience in a Data & AI related field

- 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.

- 5+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.

Preferred Qualifications

- AWS ML Specialty certification

- 5+ years of AWS infrastructure architecture, security,database architecture and networking experience

- Experience working with end user or developer communities

- Knowledge of software development tools and methodologies

- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional)



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.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description

AWS is seeking a Senior GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.



This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.



You'll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.



Key job responsibilities

1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products



2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey



3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions



4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community



5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience



6. External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent



About the team

AWS Values Your Experience

We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.



Why AWS?

As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.



Inclusive Culture

Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.



Professional Development

As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.



Work/Life Harmony

Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.

Basic Qualifications

- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

- Bachelor's degree

- 8+ years design/implementation/consulting experience for specific technology domain areas like (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience

- 5+ years management of technical, customer facing resources

- 5+ years of years of experience in a Data & AI related field

- 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.

- 5+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.

Preferred Qualifications

- AWS ML Specialty certification

- 5+ years of AWS infrastructure architecture, security,database architecture and networking experience

- Experience working with end user or developer communities

- Knowledge of software development tools and methodologies

- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional)



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.



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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
AWS is seeking a Senior GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.
This role requires technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade architectural strategies, and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.
You'll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey, balancing innovation with practical constraints and compliance requirements. You'll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.
Key job responsibilities
1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help them meet strategic business objectives using AWS products
2. Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey
3. Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions
4. Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community
5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to the evolution of AWS GenAI/ML services based on real-world implementation experience
6. External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS Summit and re:Invent
About the team
AWS Values Your Experience
We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.
Why AWS?
As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.
Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.
Professional Development
As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.
Work/Life Harmony
Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.
Basic Qualifications
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Bachelor's degree
- 8+ years design/implementation/consulting experience for specific technology domain areas like (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience
- 5+ years management of technical, customer facing resources
- 5+ years of years of experience in a Data & AI related field
- 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
- 5+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.
Preferred Qualifications
- AWS ML Specialty certification
- 5+ years of AWS infrastructure architecture, security,database architecture and networking experience
- Experience working with end user or developer communities
- Knowledge of software development tools and methodologies
- Cloud Technology Certification (such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional)
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.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Position: System Design Engineer
Job ID:  2394/7
Location:  Redhill, Surrey 
Rate/Salary:  Competitive
Benefits 
Annual Bonus, Private Healthcare, Company pension, Sick Pay, On-site Parking, On-site gym at the HQ, 25 days holiday plus Bank Holidays 

Type: Permanent

HSB Technical Ltd is a specialist recruiter within the Power & Propulsion, Shipbuilding, Maritime Shipping, Energy and Subsea sectors – visit: (url removed) for a list of our vacancies. We have a number of permanent and contract vacancies for multiple businesses across the UK and overseas.

The below job description will outline this position of: System Design Engineer

Typically, this person will:

Work alongside engineering and project teams to produce electrical and mechanical drawings. The role demands a thorough understanding of relevant technical standards and electrical regulations, including BS7671 (18th Edition) wiring regulations and the Electricity at Work Act. The System Design Engineer will develop design concepts from first principles, prepare detailed 2D and 3D CAD drawings, and ensure compliance with manufacturing techniques and material properties. They will take ownership of assigned tasks, making proactive decisions and managing priorities effectively to meet tight deadlines in a fast-paced environment.

HSB Technical’s client is an established and well-regarded business entity operating in a technical and regulatory-compliant environment.

Duties and responsibilities of the System Design Engineer:

• Produce high-quality electrical and mechanical design drawings in accordance with recognised drawing standards such as BS888:2017.
li>Ensure all designs comply with BS7671 (18th Edition) wiring regulations , the Electricity at Work Act, and relevant EU electrical safety directives.
• Develop detailed design concepts with strong engineering design skills and a good understanding of manufacturing techniques and material properties.
• Produce accurate 2D and 3D CAD drawings adhering to ISO standards using a CAD tool of choice (candidate input on software selection welcomed).
• Create STEP files for customer/client transfer as required.
• Prepare Visio diagrams to support company-wide documentation needs.
• Apply expertise in the design and manufacture of electrical enclosures such as control panels and 19” racks.
< i>Collaborate effectively with internal departments, sub-contractors, suppliers, and external customers to ensure positive project outcomes.
• Take ownership of tasks and deliver outputs proactively and independently, prioritising work efficiently to meet deadlines.
• Adapt to changing priorities and handle uncertainty within the scope of the role.

Qualifications and requirements for the System Design Engineer:

• Minimum qualification of HND, HNC, apprenticeship, or equivalent relevant engineering certification.
• At least four years of experience producing electronic and mechanical drawings in significant quantities; ideally five years in electrical/systems design.
• Proficient user of CAD software such as AutoCAD; experience with electrical CAD tools (e.g., SEE Electrical or ETAP) is advantageous.
• Strong knowledge of BS7671 (18th Edition) wiring regulations , EMC, and LVD standards is essential.
• Experience working within an electrical engineering regulatory environment for installations.
• Ability to produce a consistently high standard of work meeting or exceeding customer requirements.
• Strong problem-solving skills and the ability to work autonomously with minimal supervision.
• Demonstrable "can-do" mentality with resilience to manage workload under pressure and tight deadlines.
• Eligibility to hold SC Security Clearance or ability to obtain it.
• Competent with standard office applications and remote working tools.

This vacancy is being advertised by HSB Technical Ltd who have been appointed to act as a recruitment partner for this role.

Position: System Design Engineer
Job ID:  2394/7
Location:  Redhill, Surrey 
Rate/Salary:  Competitive
Benefits 
Annual Bonus, Private Healthcare, Company pension, Sick Pay, On-site Parking, On-site gym at the HQ, 25 days holiday plus Bank Holidays 

Type: Permanent

HSB Technical Ltd is a specialist recruiter within the Power & Propulsion, Shipbuilding, Maritime Shipping, Energy and Subsea sectors – visit: (url removed) for a list of our vacancies. We have a number of permanent and contract vacancies for multiple businesses across the UK and overseas.

The below job description will outline this position of: System Design Engineer

Typically, this person will:

Work alongside engineering and project teams to produce electrical and mechanical drawings. The role demands a thorough understanding of relevant technical standards and electrical regulations, including BS7671 (18th Edition) wiring regulations and the Electricity at Work Act. The System Design Engineer will develop design concepts from first principles, prepare detailed 2D and 3D CAD drawings, and ensure compliance with manufacturing techniques and material properties. They will take ownership of assigned tasks, making proactive decisions and managing priorities effectively to meet tight deadlines in a fast-paced environment.

HSB Technical’s client is an established and well-regarded business entity operating in a technical and regulatory-compliant environment.

Duties and responsibilities of the System Design Engineer:

• Produce high-quality electrical and mechanical design drawings in accordance with recognised drawing standards such as BS888:2017.
li>Ensure all designs comply with BS7671 (18th Edition) wiring regulations , the Electricity at Work Act, and relevant EU electrical safety directives.
• Develop detailed design concepts with strong engineering design skills and a good understanding of manufacturing techniques and material properties.
• Produce accurate 2D and 3D CAD drawings adhering to ISO standards using a CAD tool of choice (candidate input on software selection welcomed).
• Create STEP files for customer/client transfer as required.
• Prepare Visio diagrams to support company-wide documentation needs.
• Apply expertise in the design and manufacture of electrical enclosures such as control panels and 19” racks.
< i>Collaborate effectively with internal departments, sub-contractors, suppliers, and external customers to ensure positive project outcomes.
• Take ownership of tasks and deliver outputs proactively and independently, prioritising work efficiently to meet deadlines.
• Adapt to changing priorities and handle uncertainty within the scope of the role.

Qualifications and requirements for the System Design Engineer:

• Minimum qualification of HND, HNC, apprenticeship, or equivalent relevant engineering certification.
• At least four years of experience producing electronic and mechanical drawings in significant quantities; ideally five years in electrical/systems design.
• Proficient user of CAD software such as AutoCAD; experience with electrical CAD tools (e.g., SEE Electrical or ETAP) is advantageous.
• Strong knowledge of BS7671 (18th Edition) wiring regulations , EMC, and LVD standards is essential.
• Experience working within an electrical engineering regulatory environment for installations.
• Ability to produce a consistently high standard of work meeting or exceeding customer requirements.
• Strong problem-solving skills and the ability to work autonomously with minimal supervision.
• Demonstrable "can-do" mentality with resilience to manage workload under pressure and tight deadlines.
• Eligibility to hold SC Security Clearance or ability to obtain it.
• Competent with standard office applications and remote working tools.

This vacancy is being advertised by HSB Technical Ltd who have been appointed to act as a recruitment partner for this role.

**Date Posted:**
**Country:**
United Kingdom
**Location:**
GBR01:Harlow, Essex, Kao One, Kao Park, Harlow, CM17 9NA
**Position Role Type:**
Unspecified
**Job Title- System Design Authority**
**Location-Harlow**
**Contract-Permanent**
**Hours-Fulltime 37 hrs**
**Raytheon UK**
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.
Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
The manufacture of Control Actuation Systems, Guidance Electronic Units and Power Products. The UK's only Global Factory for UK & US missile programmes.
The provision of GPS Anti-Jamming systems across domains. Raytheon UK's long heritage of AJ GPS Technology can be found on land, air and maritime platforms.
Dedicated high volume Space Grade manufacturing facility with CCA lines qualified for Space, all supported by a highly skilled experienced workforce.
**Summary of Role:**
This is an exciting opportunity for an experienced and high performing Principal Systems Engineer to work within the Raytheon Assured Position Navigation and Timing (APNT) Engineering team, part of the wider Systems & Products business unit, to produce Digital GPS Anti-Jam Systems and Alternative Navigation Solutions for the military market.
The role will provide Design Authority expertise across Raytheon's range of APNT products, providing technical direction across the product lifecycle, from requirements capture, Analysis, Design through testing, qualification and certification activities, release to volume production and ongoing product sustainability.
**Main Duties:**
The role will report directly to the Senior Project Engineering Manager APNT, providing Technical Leadership and Direction for the Engineering team, with Design Authority responsibility for their assigned products and support in generating a development strategy and road maps for the APNT team.
The candidate will Support our Business Development and Capture team regarding customer support and technical / product strategy discussions. Responsible for leading the technical input for Bids and Proposals and Production of Engineering Estimates will assist in the successful capture of new business.
Working closely with our Customers and the System Engineering Team to develop and shape the technical requirements design, generation of technical documentation and then manage these requirements through the design lifecycle in order to meet the requirements set during product development.
Working with our experienced design team, industry experts and interfacing to our suppliers you will be solving complex technical problems on new and existing GPS Anti-Jam Products. As well as providing Engineering representation to production IPT (Integrated Product Team) regards to investigating production queries, obsolescence management and phasing of change management.
Responsible for all technical design reviews and qualification, verification, validation, and certification of our designs ensures that we meet the highest standard the customer expects of Raytheon Products.Raytheon invests heavily in Research & Development for existing and new products within the APNT division.
You will supporting and mentoring our junior engineers through their activities to ensure the teams growth and future success.
**Essential**
+ Product development experience at team lead level
+ Good knowledge of high speed digital design (up to GHz), electro-mechanical and / or thermal product design within harsh environments.
+ Understanding of RF concepts and techniques for analogue signals to 2GHz.
+ Design of circuits in analogue and digital, with exposure to FPGA or DSP control.
+ Experience of interfacing designs into established systems
+ Proven experience and demonstrable achievement in systems engineering principles with regards product development
+ Experience in Product Qualification, for EMC, Environmental requirements.
+ Demonstrable problem solving and analytical skills, willing to take ownership as well as positively contributing within cross-disciplined teams.
+ Able to prioritise and manage their tasks and the engineering team activities to ensure all are completed to time and schedule whilst ensure the required design process and quality is maintained
+ Experience in interpretation of customer specs and end use environments.
+ Ability to develop hardware concepts efficiently from limited or vague customer requirements and communicate potential solutions.
+ Experience with generation of technical documentation at all levels.
+ Willingness to travel throughout the UK, Europe and the US.
+ Degree in STEM (Science, Technology, Electrical Engineering, Mathematics) or similar industry certification.
+ Eligible or current holder of SC security clearance.
**Desirable**
+ Design Authority experience for System Product development
+ Experience with interfacing to RF circuitry and high speed D/A /A/D conversion
+ Experience in schematic, and PCB layout tools, and Electronics simulation environments.( e.g. Mentor, Matlab, LT Spice, Hyperlynx and Systemvision or equivalents)
+ Knowledge of Firmware development, design and test using suitable toolsets (i.e. Xilinx Vivado, ModelSim)
+ Product Quality Testing and Certification.
+ Experience of working with Industry standard toolsets for requirement capture, design and task management (e.g. DOORs, Microsoft Project).
+ Knowledge of GNSS systems and receiver characteristics
+ Experience with SysMl or UML in a Systems Engineering environment
+ Understands the principles of 6 Sigma and Lean Manufacturing.
*Please note, any offers made for this position will be conditional until contract award, expected in May *
**Benefits**
+ Competitive salaries.
+ 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
+ Contributory Pension Scheme (up to 10.5% company contribution)
+ Company bonus scheme (discretionary).
+ 6 times salary 'Life Assurance' with pension.
+ Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
+ Enhanced sick pay.
+ Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
+ Car / Car allowance (dependant on grade/ role)
+ Private Medical Insurance (dependant on grade)
**Work Culture**
+ 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
+ Early 1.30pm finish Friday, start your weekend early!
+ Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.
+ A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.
+ Up to 5 paid days volunteering each year.
RTX
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
#LI-AW1
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Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.