946 AI Expert jobs in the United Kingdom

Description

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.



Key job responsibilities

- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

- Performing audits and quality checks of tasks completed by other specialists, if required

- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

- Diving deep into issues and implementing solutions independently

- Identifying and reporting tooling bugs and suggesting improvements



A day in the life

As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.



About the team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.



Contract Type: Fixed term contract

Basic Qualifications

- High-School or equivalent diploma.

- Proven experience working with written language data, including experience with annotation, and other forms of data markup.

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).

- Strong understanding of U.S.-based culture, society, and norms.

- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.

- Excellent attention to details and ability to focus for a long period of time

- Comfortable with high-school level STEM

- Ability to effectively write and evaluate diverse subject matter across various domains

- Ability to adapt writing style to suit various style guidelines and customers.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

- Bacheloru2019s degree in a relevant field or equivalent professional experience

- Experience with creating complex data for LLM training and evaluation

- Proven experience working with command line interfaces and basic UNIX commands

- Familiarity with common markup languages such as HTML, XML, Markdown

- Familiarity with common standard text formats such as JSON, CSV, RTF

- Working knowledge of Python or another scripting language

- Familiarity with regular expressions syntax

- Familiarity with Large Language Models

- Comfort in annotation work that may include sensitive content



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

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.



Key job responsibilities

- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

- Performing audits and quality checks of tasks completed by other specialists, if required

- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

- Diving deep into issues and implementing solutions independently

- Identifying and reporting tooling bugs and suggesting improvements



A day in the life

As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.



About the team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.



Contract Type: Fixed term contract

Basic Qualifications

- High-School or equivalent diploma.

- Proven experience working with written language data, including experience with annotation, and other forms of data markup.

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).

- Strong understanding of U.S.-based culture, society, and norms.

- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.

- Excellent attention to details and ability to focus for a long period of time

- Comfortable with high-school level STEM

- Ability to effectively write and evaluate diverse subject matter across various domains

- Ability to adapt writing style to suit various style guidelines and customers.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

- Bacheloru2019s degree in a relevant field or equivalent professional experience

- Experience with creating complex data for LLM training and evaluation

- Proven experience working with command line interfaces and basic UNIX commands

- Familiarity with common markup languages such as HTML, XML, Markdown

- Familiarity with common standard text formats such as JSON, CSV, RTF

- Working knowledge of Python or another scripting language

- Familiarity with regular expressions syntax

- Familiarity with Large Language Models

- Comfort in annotation work that may include sensitive content



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

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.



Key job responsibilities

- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

- Performing audits and quality checks of tasks completed by other specialists, if required

- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

- Diving deep into issues and implementing solutions independently

- Identifying and reporting tooling bugs and suggesting improvements



A day in the life

As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.



About the team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.



Contract Type: Fixed term contract

Basic Qualifications

- High-School or equivalent diploma.

- Proven experience working with written language data, including experience with annotation, and other forms of data markup.

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).

- Strong understanding of U.S.-based culture, society, and norms.

- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.

- Excellent attention to details and ability to focus for a long period of time

- Comfortable with high-school level STEM

- Ability to effectively write and evaluate diverse subject matter across various domains

- Ability to adapt writing style to suit various style guidelines and customers.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

- Bacheloru2019s degree in a relevant field or equivalent professional experience

- Experience with creating complex data for LLM training and evaluation

- Proven experience working with command line interfaces and basic UNIX commands

- Familiarity with common markup languages such as HTML, XML, Markdown

- Familiarity with common standard text formats such as JSON, CSV, RTF

- Working knowledge of Python or another scripting language

- Familiarity with regular expressions syntax

- Familiarity with Large Language Models

- Comfort in annotation work that may include sensitive content



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

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.



Key job responsibilities

- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

- Performing audits and quality checks of tasks completed by other specialists, if required

- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

- Diving deep into issues and implementing solutions independently

- Identifying and reporting tooling bugs and suggesting improvements



A day in the life

As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.



About the team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.



Contract Type: Fixed term contract

Basic Qualifications

- High-School or equivalent diploma.

- Proven experience working with written language data, including experience with annotation, and other forms of data markup.

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).

- Strong understanding of U.S.-based culture, society, and norms.

- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.

- Excellent attention to details and ability to focus for a long period of time

- Comfortable with high-school level STEM

- Ability to effectively write and evaluate diverse subject matter across various domains

- Ability to adapt writing style to suit various style guidelines and customers.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

- Bacheloru2019s degree in a relevant field or equivalent professional experience

- Experience with creating complex data for LLM training and evaluation

- Proven experience working with command line interfaces and basic UNIX commands

- Familiarity with common markup languages such as HTML, XML, Markdown

- Familiarity with common standard text formats such as JSON, CSV, RTF

- Working knowledge of Python or another scripting language

- Familiarity with regular expressions syntax

- Familiarity with Large Language Models

- Comfort in annotation work that may include sensitive content



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

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.



Key job responsibilities

- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

- Performing audits and quality checks of tasks completed by other specialists, if required

- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

- Diving deep into issues and implementing solutions independently

- Identifying and reporting tooling bugs and suggesting improvements



A day in the life

As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.



About the team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.



Contract Type: Fixed term contract

Basic Qualifications

- High-School or equivalent diploma.

- Proven experience working with written language data, including experience with annotation, and other forms of data markup.

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).

- Strong understanding of U.S.-based culture, society, and norms.

- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.

- Excellent attention to details and ability to focus for a long period of time

- Comfortable with high-school level STEM

- Ability to effectively write and evaluate diverse subject matter across various domains

- Ability to adapt writing style to suit various style guidelines and customers.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

- Bacheloru2019s degree in a relevant field or equivalent professional experience

- Experience with creating complex data for LLM training and evaluation

- Proven experience working with command line interfaces and basic UNIX commands

- Familiarity with common markup languages such as HTML, XML, Markdown

- Familiarity with common standard text formats such as JSON, CSV, RTF

- Working knowledge of Python or another scripting language

- Familiarity with regular expressions syntax

- Familiarity with Large Language Models

- Comfort in annotation work that may include sensitive content



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
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models' (LLMs) capabilities.
Key job responsibilities
- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements
A day in the life
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Contract Type: Fixed term contract
Basic Qualifications
- High-School or equivalent diploma.
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Preferred Qualifications
- Bachelor's degree in a relevant field or equivalent professional experience
- Experience with creating complex data for LLM training and evaluation
- Proven experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content
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.

Overview

Monday to Thursday in the office with Fridays off (full salary maintained). This new 4-day work week is a 6-month trial, starting 19th May 2025.nWe’re on a mission to embed AI‑driven, intelligent automation across our gambling‑tech business. As the

first dedicated AI Specialist , you will identify opportunities and deliver production‑ready automations that free people up, reduce risk, and set strong foundations for a future AI team.nAt LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fans’ passion for sport driving us to the top.nWe don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition.nAs we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.nWe know that job descriptions can sometimes seem daunting and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you!nKey Responsibilities

Find the wins

– analyse manual workflows, size the prize, and build a prioritised AI backlog.nDesign & ship

– develop, test and launch GenAI‑powered or rules‑based automations in a modern cloud environment. You pick the best tools (e.g. serverless functions, workflow engines, RPA or low‑code platforms) and own the build.nIntegrate systems

– connect SaaS, internal APIs, data stores and messaging queues; enforce secure auth and robust error handling.nBuild for production

– set up CI/CD pipelines, infrastructure‑as‑code and observability so automations stay reliable and auditable.nCraft great prompts

– author, version and refine prompt templates for large‑language‑model calls; experiment with prompt frameworks and retrieval‑augmented techniques.n(Optional) fine‑tune

– explore training or fine‑tuning domain‑specific models where prompt‑only approaches fall short.nBake in compliance

– design with UK Gambling Commission rules, ISO27001 and GDPR in mind, partnering with Compliance from day one.nEnable others

– document run‑books, run demos, and mentor colleagues to foster an automation‑first culture.nProve value

– capture qualitative feedback and simple metrics that demonstrate meaningful progress on AI adoption.nWhat success looks like

90 days:

At least one live automation reducing manual effort for a business team.n6 months:

A reusable automation framework adopted by multiple teams; positive stakeholder feedback.n12 months:

A clear roadmap and tool‑kit for a scaled IA Centre of Excellence; visible shift in culture toward automation.nSkills, Knowledge, and Experience

3+ years building production software, data pipelines or process automationsnHands‑on expertise with at least one major cloud platform (Google Cloud, AWS or Azure) and a scripting language such as Python or TypeScript/Node.js.nPractical experience delivering solutions that call GenAI or machine‑learning servicesnSolid grounding in RESTful APIs, webhooks, auth (OAuth2, service accounts) and event‑driven designnComfort with Git, CI/CD and IaC (Terraform, Cloud Deploy, DevOps pipelines, etc.)nSecurity‑first mindset and appreciation of regulated environments.nNice to Have

Experience in gambling, fintech or similarly regulated domains.nExposure to RPA / low‑code suites (UiPath, Automation Anywhere, Power Platform, AppScript, etc.).nProcess‑mining, Lean Six Sigma or other continuous‑improvement tooling.nFamiliarity with Kubernetes, data warehouses or business‑intelligence platforms.nWhat can we offer?

Fridays Off: Say goodbye to Friday meetings and hello to a three‑day weekend!nThis benefit is part of a 6‑month trial, starting 19th May 2025.nCompany Performance BonusnFlexible Working Agreements where applicablenPrivate Healthcare Scheme + Employee Enhanced AssistancenEnhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full paynSubsidised Gym MembershipnAnnual Travel Card Loan & Ride to Work SchemenLife Assurance (x3 salary)nContributory Pension PlannVirgin Family: Giving you access to exclusive Virgin offers and experiencesnThursday drinks in the office and regular socialsnApplication information

Interested in building your career at LiveScore Group? Get future opportunities sent straight to your email.nDemographic Questions

We are an Equal Opportunities employer and welcome applications from all suitably qualified persons. The I.D.E.A (Inclusion, Diversity, Equality, Awareness) Forum is The Group’s commitment to diversity and inclusion, critical to our business and fundamental to everything we do. We are Disability Confident Committed - committed to ensuring that our recruitment and selection process is inclusive and accessible.nWhat do you identify as? * Select.nWhich of these best describes your ethnic background? * Select.nWhat is your age? * Select.nDo you have any long-standing illness, disability or infirmity? * Select.

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