tools) to rapidly prototype and develop applications. Integration Framework: Implement and optimise Model Context Protocol for seamless integration of AI microservices. DevOps Implementation: Configure and manage deployment pipelines using Docker, Git, CI/CD methodologies, and cloud services. MarTech Innovation: Research and implement AI solutions specifically targeting marketing use cases (content generation, audience analytics, personalisation). Data Pipeline Architecture: Design … integrating large language models (LLMs) and AI APIs. Deep understanding of microservices architecture, Model Context Protocol, API design, and cloud platforms (GCP, Azure). Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience More ❯
Development: Rapidly prototype and develop applications using AI coding tools. Integration Framework: Implement and optimise Model Context Protocol for seamless AI microservice integration. DevOps Implementation: Manage deployment pipelines using Docker, Git, CI/CD, and cloud services. MarTech Innovation: Research and implement AI solutions for marketing use cases like content generation, analytics, and personalisation. Data Pipeline Architecture: Design robust data … integrating large language models (LLMs) and AI APIs. Deep understanding of microservices architecture, Model Context Protocol, API design, and cloud platforms (GCP, Azure). Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience More ❯
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
back-end technologies, including HTML, CSS, JavaScript, React, Node.js, and RESTful APIs. Strong experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Proven experience in implementing DevOps practices, including CI/CD pipelines, automated testing, and version control systems (e.g., Git). Demonstrated leadership skills in managing More ❯
