26 to 27 of 27 Design Patterns Jobs in the Thames Valley

Services (SOAP/REST), Security Protocols, BizTalk Configuration, Transformations and JSON based Messaging. Experience on recent BizTalk versions including 2013. Strong knowledge of integration patterns, especially in integrating Portals/SSO, legacy applications, B2B Applications, external partners using BizTalk. Strong command on various BizTalk components like BRE and BAM … Pipelines, Mapping, Orchestrations, Itineraries. Strong command on .Net/C# concepts and current trends in the industry including strong understanding of Object Oriented design methodologies and design patterns. Excellent understanding of the entire Software Development Life Cycle including requirements elicitation, design, development, test, release … coordination with support teams for deployment and issue handling. Experience with code build tools such as TFS. Experience in production of project estimates, design documents, and project plans. Additional Information All your information will be kept confidential according to EEO guidelines. More ❯

our customers in the higher education sector. As the AI technical lead, you'll collaborate with product teams to identify high-value opportunities, design AI system architectures, and implement innovative solutions that drive business growth and customer satisfaction. You'll be at the forefront of our AI transformation … guiding strategy and implementation across product lines. Evaluate emerging AI technologies and tools to determine their applicability to our business problems. Solution Architecture : Design AI system architectures that integrate with our existing products. Develop proof-of-concepts and prototypes that demonstrate the value of AI-driven approaches to … AI Expertise - Demonstrated experience implementing AI solutions in commercial software products. Strong understanding of large language models, machine learning techniques, and AI application design patterns. Practical AI Implementation - Experience with prompt engineering, model fine-tuning, RAG (Retrieval Augmented Generation) systems, and other techniques for optimising AI performance in More ❯