315 marketing English-speaking jobs in Nouvelle-Aquitaine

Join our Mission to Lead the Future of Snacking. Make It Possible. Our employees are key ingredients to our success, and you will balance their interests with those of the business. You will be a trusted partner to managers to drive strategic growth and will coach and challenge them to drive workforce performance, providing support in areas of talent, employee engagement and change management.

Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. You are responsible for ensuring that projects are successfully completed on time and on budget. This includes project governance, budget and timeline development, build quality, testing and operational readiness, and the completed project’s readiness to go live.

The Role: Build and deploy advanced NLP models for tasks like text classification, sentiment analysis, entity recognition, and question answering. Work directly with large, unstructured datasets, performing data preprocessing, feature engineering, and cleaning. Design and implement scalable pipelines to integrate NLP models into production applications.

The Role: Design, develop, and maintain complex iOS applications using Swift and SwiftUI. Collaborate with product managers, designers, and backend engineers to define feature requirements and technical solutions. Implement clean architectures and maintainable codebases using patterns like MVVM or VIPER. Optimise performance, reliability, and responsiveness across a variety of iOS devices.

The Role: Lead the design and development of Swift-based applications, frameworks, or backend services. Ensure clean architecture and long-term maintainability. Architect modular, reusable components and libraries to support multiple projects and teams. Ensure technical solutions are aligned with client expectations, deadlines, and overall product goals.

The Role: Develop scalable backend systems, APIs, and services using Python. Solve complex technical challenges, including performance bottlenecks, concurrency, and large-scale data processing. Develop automated tests, maintain CI/CD pipelines, and ensure smooth deployment to production. Deploy Python libraries, frameworks, and tools to improve development practices.

The Role: Develop automated deployment pipelines, CI/CD workflows, and infrastructure as code. Manage cloud infrastructure, containerised environments, and orchestration tools (Kubernetes, Docker). Monitor application performance, availability, and reliability across production and staging environments.

The Role: ● Design, implement, and refine predictive and analytical models for complex business problems. ● Translate ambiguous business questions into structured data problems and actionable solutions. ● Explore large datasets to uncover hidden patterns, trends, and opportunities. ● Build and maintain scalable data pipelines and workflows for production-ready analytics.

The Role: Analyse large and complex datasets to uncover trends, correlations, and actionable patterns. Develop and maintain dashboards, reports, and visualisations that provide stakeholders with clear, data-driven insights. Translate business problems into structured data questions and analytical approaches. Evaluate data quality and suggest improvements to ensure accuracy and reliability.

The Role: Design, implement, and deploy machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven applications. Work with large, complex datasets to perform data cleaning, feature engineering, and transformation for model training. Develop end-to-end ML pipelines, from data ingestion to model deployment and monitoring in production.

The Role: Build and maintain cloud infrastructure on platforms such as AWS, Azure, or GCP to support large-scale applications. Design and implement infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Ensure high availability, security, and reliability of cloud services and applications.

This research aims to create novel fiber optic sensors, thermal switches, or optical selectors whose function is directly and rapidly controlled by temperature. The successful outcome may lead to a Ph. D. opportunity, with a guaranteed partial scholarship already secured. The main objective is to establish the feasibility of nanoparticle-functionalized polymer optical fibers for sensing applications.

The Role: Design, develop, and maintain complex iOS applications using Swift and SwiftUI. Collaborate with product managers, designers, and backend engineers to define feature requirements and technical solutions. Implement clean architectures and maintainable codebases using patterns like MVVM or VIPER. Optimise performance, reliability, and responsiveness across a variety of iOS devices.

The Role: Analyse large and complex datasets to uncover trends, correlations, and actionable patterns. Develop and maintain dashboards, reports, and visualisations that provide stakeholders with clear, data-driven insights. Translate business problems into structured data questions and analytical approaches. Evaluate data quality and suggest improvements to ensure accuracy and reliability.

The Role: Design, implement, and deploy machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven applications. Work with large, complex datasets to perform data cleaning, feature engineering, and transformation for model training. Develop end-to-end ML pipelines, from data ingestion to model deployment and monitoring in production.

The Role: Develop automated deployment pipelines, CI/CD workflows, and infrastructure as code. Manage cloud infrastructure, containerised environments, and orchestration tools (Kubernetes, Docker). Monitor application performance, availability, and reliability across production and staging environments.

The Role: Build and deploy advanced NLP models for tasks like text classification, sentiment analysis, entity recognition, and question answering. Work directly with large, unstructured datasets, performing data preprocessing, feature engineering, and cleaning. Design and implement scalable pipelines to integrate NLP models into production applications.

The Role: Build and maintain cloud infrastructure on platforms such as AWS, Azure, or GCP to support large-scale applications. Design and implement infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Ensure high availability, security, and reliability of cloud services and applications.

The Role: ● Design, implement, and refine predictive and analytical models for complex business problems. ● Translate ambiguous business questions into structured data problems and actionable solutions. ● Explore large datasets to uncover hidden patterns, trends, and opportunities. ● Build and maintain scalable data pipelines and workflows for production-ready analytics.

The Role: Lead the design and development of Swift-based applications, frameworks, or backend services. Ensure clean architecture and long-term maintainability. Architect modular, reusable components and libraries to support multiple projects and teams. Ensure technical solutions are aligned with client expectations, deadlines, and overall product goals.