645 Industries jobs in the United Kingdom

Strategy Education are working with a Further Education College who are recruiting for a Lecturer of Service Industries.

Lecturer of Service Industries

• Part time, 16 hours per week (timetable TBC)
• Leigh on Sea, Essex
• Teaching qualification is desirable but not essential for this post

This candidate needs to have a level 3 Catering qualification and having knowledge of apprenticeships would be a benefit

Why Should You Work With Us?

Strategy Education have been working with Further Education Collegesin the Essex area for over 10 years. Weprovide the schools with temporary and permanent staff that match their expectations. By working with us, you will be offered work that matches your requirements and career aspirations.

The successful Lecturer of Service Industries will be subject to a variety of checks including eligibility to work in the UK, an enhanced DBS disclosure and full references including one from your most recent employer. Strategy Education is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment.

If you would like to be considered for this Lecturer of Service Industries post, please apply today.

Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.



The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.



You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.



In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.



Key job responsibilities

As an Data Scientist, you will-



- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges



- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production



- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder



- Provide customer and market feedback to Product and Engineering teams to help define product direction



About the team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, 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.



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.



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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship and 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.



AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.



AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base. We are obsessed about delivering success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.

Basic Qualifications

- 5+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- Experience applying theoretical models in an applied environment

- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Preferred Qualifications

- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)

- Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools



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

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.



The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.



You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.



In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.



Key job responsibilities

As an Data Scientist, you will-



- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges



- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production



- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder



- Provide customer and market feedback to Product and Engineering teams to help define product direction



About the team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, 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.



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.



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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship and 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.



AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.



AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base. We are obsessed about delivering success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.

Basic Qualifications

- 5+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- Experience applying theoretical models in an applied environment

- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Preferred Qualifications

- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)

- Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools



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
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.
Key job responsibilities
As an Data Scientist, you will-
- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges
- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and 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.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base. We are obsessed about delivering success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.
Basic Qualifications
- 5+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Preferred Qualifications
- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
- Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools
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.

Our client is seeking a highly experienced and motivated Senior Geologist to join their innovative, fully remote team, focusing on the extractive industries. This critical role will involve leveraging advanced geological knowledge and cutting-edge technology to identify, assess, and manage mineral resources. You will be responsible for conducting detailed geological surveys, interpreting complex subsurface data, and contributing to the strategic planning of exploration and extraction operations, all managed remotely.

The ideal candidate will possess a strong academic background in geology or a related field, coupled with extensive practical experience in mineral exploration, resource estimation, and geological modeling. You should be proficient with industry-standard geological software, data analysis techniques, and remote sensing technologies. Excellent communication skills are essential for collaborating with a geographically dispersed team, presenting findings, and contributing to strategic decision-making processes.

Key Responsibilities:

• Conduct comprehensive geological assessments and feasibility studies for potential resource extraction sites.
• Interpret geophysical, geochemical, and borehole data to delineate ore bodies and estimate resource quantities.
• Develop and manage geological models using specialized software (e.g., Leapfrog, Micromine, Vulcan).
• Plan and oversee geological fieldwork, including sampling, mapping, and drilling programs (where applicable, through remote coordination).
• Contribute to the development of exploration strategies and target generation.
• Evaluate geological risks and opportunities associated with mineral projects.
• Prepare detailed geological reports, maps, and presentations for internal and external stakeholders.
• Collaborate effectively with geophysicists, engineers, environmental specialists, and other project team members remotely.
• Stay abreast of the latest advancements in geological sciences, exploration technologies, and data analysis techniques.
• Ensure adherence to industry best practices and regulatory compliance.
• Mentor junior geologists and contribute to knowledge sharing within the team.

Qualifications:

• Master's degree or PhD in Geology, Geosciences, or a closely related field.
• Minimum of 10 years of progressive experience in exploration geology, resource geology, or mining geology.
• Proven expertise in geological modeling, resource estimation, and geostatistics.
• Proficiency with industry-standard geological software packages (e.g., Leapfrog Geo, Surpac, MinePlan).
• Strong analytical and problem-solving skills, with the ability to interpret complex geological datasets.
• Excellent written and verbal communication skills, with the ability to present technical information clearly and concisely.
• Experience with remote sensing and GIS applications in geology.
• Ability to work independently and collaboratively in a remote team environment.
• Demonstrated ability to manage projects and deliver results under remote supervision.
• Knowledge of various mineral deposit types and exploration techniques.

This fully remote position offers a unique opportunity to apply your expertise to global mining projects and contribute to the sustainable sourcing of essential resources.

OverviewnAre you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.

Responsibilities

Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges

Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production

Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder audiences

Provide customer and market feedback to Product and Engineering teams to help define product direction

About the teamnDiverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWSnAmazon 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.

Work/Life BalancenWe 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.

Inclusive Team CulturenHere at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career GrowthnWe'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.

AWS SMGS and Support Context

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base. We are obsessed about delivering success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.

QualificationsnBasic Qualifications

5+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Experience applying theoretical models in an applied environment

Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Preferred Qualifications

PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)

Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools

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 the Amazon accommodations page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

#J-18808-Ljbffrn

DESCRIPTIONnAre you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.nThe team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.nYou will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.nIn this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.nKey job responsibilitiesn- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challengesn- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to productionn- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholdern- Provide customer and market feedback to Product and Engineering teams to help define product directionnAbout the teamnDiverse ExperiencesnAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.nWhy AWSnAmazon 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.nWork/Life BalancenWe 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.nInclusive Team CulturenHere at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.nMentorship and Career GrowthnWe'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.nBASIC QUALIFICATIONSn- 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experiencen- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experiencen- Experience applying theoretical models in an applied environmentn- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer sciencenPREFERRED QUALIFICATIONSn- PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer sciencen- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experiencen- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)n- Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and toolsnAmazon 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.nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.nOur 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

more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

#J-18808-Ljbffrn

Overview

Job ID: | AWS EMEA SARL (UK Branch)nAre you looking to work at the forefront of Machine Learning and AI? This role focuses on applying cutting edge Generative AI algorithms to solve real world problems with significant impact. The AWS Industries Team helps customers implement Generative AI solutions and realize transformational business opportunities in strategic industry verticals. This team comprises data scientists, engineers, and architects who work with customers to build bespoke solutions that harness the power of generative AI.nThe team helps customers imagine and scope the highest-value use cases, select, train, and fine-tune models, define paths to address technical or business challenges, develop proof-of-concepts, and build applications to launch solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.nYou will work directly with customers in a fast-paced environment, design and run experiments, research new algorithms, and explore ways to optimize risk, profitability, and customer experience. In this Data Scientist role you will use GenAI and related techniques to design, evangelize, implement and scale cutting-edge solutions for never-before-solved problems.

Key job responsibilities

Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and ML systems addressing real-world challenges.

Interact with customers directly to understand business problems, aid in the implementation of generative AI solutions, deliver briefings and deep-dive sessions, and guide adoption patterns toward production.

Create and deliver best-practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders.

Provide customer and market feedback to Product and Engineering teams to help define product direction.

About the teamnDiverse Experiences: Amazon values diverse experiences. If you do not meet all preferred qualifications, we encourage you to apply. If your career is just starting or follows an unconventional path, don’t let it stop you from applying.

Why AWSnAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by customers from startups to Global 500 companies.

Work/Life BalancenWe value work-life harmony and strive for flexibility as part of our working culture. Support at work and at home enables us to achieve in the cloud.

Inclusive Team CulturenWe foster a culture of inclusion with employee-led affinity groups and ongoing events and learning experiences that celebrate diversity.

Mentorship and Career GrowthnWe support continuous learning, mentorship, and resources to help you develop as a professional.

QualificationsnBasic Qualifications

5+ years of data science experience and 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS, Matlab).

3+ years of experience with machine learning/statistical modeling, data analysis tools, and performance-influencing parameters.

Experience applying theoretical models in an applied environment.

Bachelor's degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, computer science).

Preferred Qualifications

PhD in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science).

5+ years of machine learning/statistical modeling experience and related techniques.

Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer).

Prior experience in training and fine-tuning Large Language Models (LLMs) and knowledge of AWS platform and tools.

Amazon is an equal opportunities employer. We believe that a diverse workforce is central to our success and make recruiting decisions based on experience and skills. We value your passion to discover, invent, simplify, and build. Protecting privacy and data security is a priority. See our Privacy Notice for details.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other protected status. If you require a workplace accommodation during the application or hiring process, please visit our accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Posted:

May 20, 2025 (Updated)

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Chichester College Group have an exciting opportunity for you to join us as a Instructor/Technician in Creative Industries  at our Chichester College campus . You will join us on part time, permanent basis. In return, we will offer a competitive salary pro rata of £25,582 – £5,683 per annum (i.e. 5,349.20 - 5,409.80).

The  Instructor/Technician in Creative Industries role:

Do you have a background in Creative and Performing Arts and are looking for that ideal part time role that fits around your other responsibilities?

Chichester College is seeking to appoint an Instructor/Technician to support the delivery of learning opportunities for students on various Dance, Drama and costume courses within the Performing Arts department.

As our Instructor/Technician, you will help support the building of props and sets for our productions held in our on-site theatre and various local venues. Recent productions include ‘Edelweiss Pirates’, ‘The Table’ and ‘Sister Act’ which were all very well received and watched by many members of the local community. You could be assisting with building anything from a jungle to a castle.

Key Responsibilities of our Instructor/Technician in Creative Industries:

• Undertaking administration related to course requirements and provide reports and statistics as required
li>Liaising with Additional Support in specific cases to ensure students get appropriate support li>Participating in curriculum area, College, employer/parent functions, reviews, meetings and promotional activities, as required li>Organising daily activities within the learning environment, including the preparation and maintainance of resources, services and housekeeping li>Providing assistance to individuals or groups of students within the learning environment li>Implementing and maintaining the regulations of the Health and Safety at Work Act and the Control of Substances Hazardous to Health legislation, including the reviews of health and safety policies and procedures in the workplace and undertake risk assessments
• Participating in course review activities and the generation and implementation of new resources and action plans
li>Monitoring and maintaining equipment and prepare replacement plans

Our ideal Instructor/Technician in Creative Industries should have the following skills and experience:

• Level 2 qualification in the relevant subject area
• Relevant industrial/subject experience
• Knowledge of Theatre equipment
li>Competency in using the relevant tools/equipment
• The ability to communicate to a diverse range of people at all levels, verbally and in writing

Working in a vibrant and inclusive further education college is an inspiring experience.  Our staff have a relentless focus on delivering outstanding teaching, learning and support, where you'll encounter a diverse student body, a positive atmosphere, ample support services, innovative teaching methods, community engagement and a celebration of individual differences. It's an environment that fosters personal growth and collaboration, to change lives through learning. 

Apply now to join a fantastic team!

Closing date: 6th October 2025

You will be asked to upload a CV before starting an application form for this role. The system will take information such as education and employment history from your CV and auto-populate the relevant parts of the application form to save you time. For the best results, we recommend your CV is formatted without columns or tables. Please check the auto-populated information for accuracy.

Please note that your CV will not be seen by Recruiting Managers so please ensure your application form is fully completed.

Suitable candidates may be invited to interview prior to the closing date and we reserve the right to close the vacancy early should sufficient applications be received.

If you would like to learn more about our Instructor/Technician in Creative Industries?  role, then please click ‘apply ’ today!

All posts are subject to an enhanced Disclosure and Barring Service check, which may include a check of the barred lists and any relevant overseas checks.

The Chichester College Group is committed to safeguarding and promoting the welfare of children. All posts are subject to an enhanced Disclosure and Barring Service check, which may include a check of the barred lists and any relevant overseas checks. We vigorously pursue all references and safeguarding checks to ensure applicants are suitable to work with young people.

As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the role.

We are an equal opportunities employer.