4 Text Analysis jobs in the United Kingdom

Natural Language Processing (NLP) Engineer

Cambridge, South West Your Personal AI

Posted 4 days ago

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Job Description

contract
Natural Language Processing (NLP) Engineer at Your Personal AI

Your Personal AI is seeking a talented Natural Language Processing (NLP) Engineer to join our AI Research and Development department. As an NLP Engineer, you will play a key role in developing cutting-edge algorithms and models to enhance our AI technology.

  • Collaborate with a team of researchers and developers to design and implement NLP solutions

  • Utilize machine learning techniques to improve language understanding and processing

  • Conduct experiments and analyze data to optimize NLP algorithms

  • Stay up-to-date with the latest advancements in NLP and AI technologies

If you are passionate about NLP and have a strong background in machine learning and data analysis, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of artificial intelligence.



Job Requirements for Natural Language Processing (NLP) Engineer at Your Personal AI

Thank you for your interest in the NLP Engineer role at Your Personal AI in the AI Research and Development department. To ensure we find the best candidate for this position, please review and include the following job requirements in your job posting:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • Proven experience in developing NLP algorithms and models

  • Familiarity with machine learning techniques and frameworks

  • Proficiency in programming languages such as Python, Java, or C++

  • Strong analytical and problem-solving skills

  • Excellent communication and teamwork abilities

  • Ability to work independently and meet project deadlines

If the job requirements are not met, we kindly ask you to revise the job posting accordingly. Thank you for your attention to this matter.

This advertiser has chosen not to accept applicants from your region.

Sr. Delivery Consultant - Natural Language AI,Amazon Connect Center of Excellence

London, London Amazon

Posted today

Job Viewed

Tap Again To Close

Job Description

Description

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'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.



Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. Youu2019ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.



The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.



Key job responsibilities

As an experienced technology professional, you will be responsible for:

- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs

- Providing technical guidance and troubleshooting support throughout project delivery

- Collaborating with stakeholders to gather requirements and propose effective migration strategies

- Acting as a trusted advisor to customers on industry trends and emerging technologies

- Sharing 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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s 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, itu2019s 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 (diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth - Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll 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, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- 5+ years of experience in cloud architecture and implementation

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience

- Experience working with external or internal customers to implement large-scale solutions

- 5+ years of experience designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment

- Coding (Python, Javascript/Typescript, Java, etc) experience integrating voice or chat bots with contact center platforms, APIs, web services, or databases

Preferred Qualifications

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)

- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR)

- Familiarity with Amazon Lex capabilities, benefits, conversation design, and required deployment skills

- Experience incorporating generative AI into voice or chat bots to answer questions or drive self-service experiences, including model selection and integration, prompt engineering, and data preparation.



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.
This advertiser has chosen not to accept applicants from your region.

Sr. Delivery Consultant - Natural Language AI,Amazon Connect Center of Excellence

London, London Amazon

Posted today

Job Viewed

Tap Again To Close

Job Description

Description

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'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.



Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. Youu2019ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.



The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.



Key job responsibilities

As an experienced technology professional, you will be responsible for:

- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs

- Providing technical guidance and troubleshooting support throughout project delivery

- Collaborating with stakeholders to gather requirements and propose effective migration strategies

- Acting as a trusted advisor to customers on industry trends and emerging technologies

- Sharing 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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s 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, itu2019s 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 (diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth - Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll 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, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- 5+ years of experience in cloud architecture and implementation

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience

- Experience working with external or internal customers to implement large-scale solutions

- 5+ years of experience designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment

- Coding (Python, Javascript/Typescript, Java, etc) experience integrating voice or chat bots with contact center platforms, APIs, web services, or databases

Preferred Qualifications

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)

- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR)

- Familiarity with Amazon Lex capabilities, benefits, conversation design, and required deployment skills

- Experience incorporating generative AI into voice or chat bots to answer questions or drive self-service experiences, including model selection and integration, prompt engineering, and data preparation.



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.
This advertiser has chosen not to accept applicants from your region.

Sr. Delivery Consultant - Natural Language AI, Amazon Connect Center of Excellence

London, London Amazon

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

Description
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'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing 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.
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 (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
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- Experience working with external or internal customers to implement large-scale solutions
- 5+ years of experience designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment
- Coding (Python, Javascript/Typescript, Java, etc) experience integrating voice or chat bots with contact center platforms, APIs, web services, or databases
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Familiarity with Amazon Lex capabilities, benefits, conversation design, and required deployment skills
- Experience incorporating generative AI into voice or chat bots to answer questions or drive self-service experiences, including model selection and integration, prompt engineering, and data preparation.
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.
This advertiser has chosen not to accept applicants from your region.
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