184 Deep Learning jobs in London
Deep Learning Engineer
London, London
Experis UK
Posted today
Job Viewed
Job Description
Job Title: Contract Deep Learning Engineer
Location: London (Hybrid or On-site)
Contract Type: 6–12 months (with potential extension)
About the Role:
We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis.
Key Responsibilities:
- Design and implement deep learning models using frameworks such as PyTorch or TensorFlow.
- Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies.
- Optimize model performance and scalability for production environments.
- Conduct experiments, evaluate model performance, and iterate based on results.
- Maintain clear documentation and contribute to knowledge sharing across the team.
- Stay up-to-date with the latest research and techniques in deep learning.
Required Skills & Experience:
- Proven experience in developing and deploying deep learning models in production.
- Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
- Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow).
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
Preferred Qualifications:
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Experience with large-scale datasets and distributed training.
- Knowledge of model interpretability and responsible AI practices.
Benefits:
- Flexible working arrangements (hybrid or remote options available).
- Opportunity to work on cutting-edge AI projects.
- Collaborative and innovative team environment.
This advertiser has chosen not to accept applicants from your region.
0
Deep Learning Engineer
London, London
Experis UK
Posted today
Job Viewed
Job Description
Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options available). Opportunity to work on cutting-edge AI projects. Collaborative and innovative team environment.
This advertiser has chosen not to accept applicants from your region.
1
Deep Learning Engineer
London, London
Experis UK
Posted today
Job Viewed
Job Description
Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain clear documentation and contribute to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or remote options available). Opportunity to work on cutting-edge AI projects. Collaborative and innovative team environment.
This advertiser has chosen not to accept applicants from your region.
2
Deep Learning Architect, AWS Generative AI Innovation Center
London, London
Amazon
Posted today
Job Viewed
Job Description
Description
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Weu2019re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.
Key job responsibilities
- Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- 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 productionization paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations, tutorials, blog posts, 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
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customeru2019s business and mission problems.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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 & 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
- Bacheloru2019s degree in computer science, engineering, mathematics or equivalent
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics or equivalent
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
- Experience in professional software development
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.
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Weu2019re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.
Key job responsibilities
- Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- 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 productionization paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations, tutorials, blog posts, 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
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customeru2019s business and mission problems.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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 & 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
- Bacheloru2019s degree in computer science, engineering, mathematics or equivalent
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics or equivalent
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
- Experience in professional software development
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.
3
Deep Learning Architect, AWS Generative AI Innovation Center
London, London
Amazon
Posted today
Job Viewed
Job Description
Description
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Weu2019re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.
Key job responsibilities
- Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- 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 productionization paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations, tutorials, blog posts, 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
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customeru2019s business and mission problems.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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 & 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
- Bacheloru2019s degree in computer science, engineering, mathematics or equivalent
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics or equivalent
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
- Experience in professional software development
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.
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
Weu2019re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.
Key job responsibilities
- Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- 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 productionization paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations, tutorials, blog posts, 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
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customeru2019s business and mission problems.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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 & 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
- Bacheloru2019s degree in computer science, engineering, mathematics or equivalent
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics or equivalent
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
- Experience in professional software development
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.
4
Deep Learning Architect, AWS Generative AI Innovation Center
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.
Key job responsibilities
- Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- 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 productionization paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations, tutorials, blog posts, 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
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics or equivalent
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
- Experience in professional software development
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.
The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.
We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
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.
Key job responsibilities
- Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- 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 productionization paths for generative AI
- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
- Create and deliver best practice recommendations, tutorials, blog posts, 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
GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Preferred Qualifications
- MSc degree in computer science, engineering, mathematics or equivalent
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
- Experience in professional software development
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.
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5
Data Science Lead
EC1 London, London
We Are Aspire
Posted 1 day ago
Job Viewed
Job Description
Are you looking to join an award-winning and independent agency, who have an excellent culture? Then you could be the perfect fit for this agency in this flexible role!
JOB TITLE: Data Science Lead
SALARY: Up to 60k
LOCATION: London (2/3 days in the office)
THE COMPANY
We're excited to represent an award-winning agency that has consistently been recognised for both its outstanding work and vibrant company culture. This is a unique opportunity to collaborate with some of the UK's most renowned brands while being part of a team dedicated to providing top-tier strategic insights that help clients overcome their biggest challenges and make informed decisions.
With cutting-edge research techniques and innovative, in-house approaches, this agency delivers impactful solutions on fast-paced, high-profile projects across various sectors. Their adaptability and client-focused mindset allow them to meet a wide variety of needs.
If you're looking to make your mark at a forward-thinking agency, this is your chance.
.KEY DUTIES
- Lead advanced analytics on projects and advise clients on data science methods and infrastructure improvements.
- Expand data capabilities through AI, synthetic data, and strategic innovations to future-proof service offerings.
- Upskill team via training sessions, improving data literacy and best practices in analytics techniques
SKILLS & EXPERIENCE
- Extensive data science experience in research settings, using advanced analytics like max-diff, KDA, conjoint, regression and segmentation techniques.
- Proficient in tools such as Python, SQL, SPSS, R, Q; skilled with survey, behavioural, and first-party data for insights.
- Strong communicator with analytical mindset; independently manages multiple projects and embraces innovation and new technologies.
Interested in this Data Science Lead role? Apply now and let's have a chat!
.
We Are Aspire Ltd are a Disability Confident Commited employer
This advertiser has chosen not to accept applicants from your region.
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6
Staff Data Science
EC1 London, London
Data Idols
Posted 11 days ago
Job Viewed
Job Description
Staff Data Scientist
Salary: 110,000 - 130,000
The Role
What You'll Do
What We're Looking For
Package & Benefits
Staff Data Scientist
Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
This advertiser has chosen not to accept applicants from your region.
7
Data Science Engineer
EC1 London, London
Ascendion
Posted 11 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
This advertiser has chosen not to accept applicants from your region.
8
Data Science Lead
London, London
£50000 - £70000 Annually
We Are Aspire
Posted 1 day ago
Job Viewed
Job Description
Are you looking to join an award-winning and independent agency, who have an excellent culture? Then you could be the perfect fit for this agency in this flexible role!
JOB TITLE: Data Science Lead
SALARY: Up to 60k
LOCATION: London (2/3 days in the office)
THE COMPANY
We're excited to represent an award-winning agency that has consistently been recognised for both its outstanding work and vibrant company culture. This is a unique opportunity to collaborate with some of the UK's most renowned brands while being part of a team dedicated to providing top-tier strategic insights that help clients overcome their biggest challenges and make informed decisions.
With cutting-edge research techniques and innovative, in-house approaches, this agency delivers impactful solutions on fast-paced, high-profile projects across various sectors. Their adaptability and client-focused mindset allow them to meet a wide variety of needs.
If you're looking to make your mark at a forward-thinking agency, this is your chance.
.KEY DUTIES
- Lead advanced analytics on projects and advise clients on data science methods and infrastructure improvements.
- Expand data capabilities through AI, synthetic data, and strategic innovations to future-proof service offerings.
- Upskill team via training sessions, improving data literacy and best practices in analytics techniques
SKILLS & EXPERIENCE
- Extensive data science experience in research settings, using advanced analytics like max-diff, KDA, conjoint, regression and segmentation techniques.
- Proficient in tools such as Python, SQL, SPSS, R, Q; skilled with survey, behavioural, and first-party data for insights.
- Strong communicator with analytical mindset; independently manages multiple projects and embraces innovation and new technologies.
Interested in this Data Science Lead role? Apply now and let's have a chat!
.
We Are Aspire Ltd are a Disability Confident Commited employer
This advertiser has chosen not to accept applicants from your region.
9