13 of 13 Part-Time Integration Patterns Jobs in the UK

within defined work packages, ensuring alignment with user needs, operational communication requirements, security requirements, and service-level objectives. \n Contribute to application architecture, configuration, integration, and lifecycle activities under the guidance of senior engineers. \n Collaborate with stakeholders across engineering, service management, and product teams to resolve technical issues. … solve moderately complex application-related issues and contribute to secure, scalable solutions in high‐availability operational settings. \n Understanding of application lifecycle management, integration patterns, and secure-by-design principles. \n Strong communication and collaboration skills across engineering, service management and product teams. \n A proactive mindset with ...

defining MVP architecture and providing ongoing technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive decisions. Define integration patterns, APIs, and data flows between systems and services. Contribute to DevOps, automation, and infrastructure-as-code practices for delivery at scale. Ensure … data and application architectures in enterprise settings. Expertise in conceptual, logical, and physical architecture modelling. Deep understanding of large-scale, distributed systems and integration patterns. Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. Broad experience with system security, operating ...

data solution architecture for major initiatives, from concept through delivery \n Design and document high‐level and detailed data architectures covering sourcing, integration, storage, processing, and consumption \n Act as the design authority for data architecture decisions, aligned to enterprise strategy, standards, and governance \n Partner with product, engineering … business teams to meet functional and non‐functional requirements \n Guide delivery teams on data architecture patterns, best practices, and modern data platform choices \n Ensure compliance with data privacy, protection, and assurance policies \n Support platform modernisation, data migrations, AI‐enabled solutions, and continuous improvement of the architecture ...

nDeliver engineering tasks within defined work packages, ensuring alignment with user needs, security requirements, and service-level objectives.\n \n \nContribute to application architecture, integration, and lifecycle activities under the guidance of senior engineers.\n \n \nCollaborate with stakeholders across engineering, service management, and business teams to resolve technical … similar)\n \n \nAbility to solve moderately complex application-related issues and contribute to secure, scalable solutions.\n \n \nUnderstanding of application lifecycle management, integration patterns, and secure-by-design principles.\n \n \nStrong communication and collaboration skills across engineering and business teams.\n \n \nA proactive mindset ...

nDeliver engineering tasks within defined work packages, ensuring alignment with user needs, security requirements, and service-level objectives.\n \n \nContribute to application architecture, integration, and lifecycle activities under the guidance of senior engineers.\n \n \nCollaborate with stakeholders across engineering, service management, and business teams to resolve technical … similar)\n \n \nAbility to solve moderately complex application-related issues and contribute to secure, scalable solutions.\n \n \nUnderstanding of application lifecycle management, integration patterns, and secure-by-design principles.\n \n \nStrong communication and collaboration skills across engineering and business teams.\n \n \nA proactive mindset ...

nDeliver engineering tasks within defined work packages, ensuring alignment with user needs, security requirements, and service-level objectives.\n \n \nContribute to application architecture, integration, and lifecycle activities under the guidance of senior engineers.\n \n \nCollaborate with stakeholders across engineering, service management, and business teams to resolve technical … platforms.\n \n \nAbility to solve moderately complex application-related issues and contribute to secure, scalable solutions.\n \n \nUnderstanding of application lifecycle management, integration patterns, and secure-by-design principles.\n \n \nStrong communication and collaboration skills across engineering and business teams.\n \n \nA proactive mindset ...

design, software architecture and building RESTful APIs. \n Experience designing and developing distributed systems and microservices architectures, including service‐to‐service communication and API integration patterns. \n Proven ability to build high‐performance, scalable backend systems for data‐intensive or mission‐critical applications. \n Experience working in DevSecOps environments ...

Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). \n Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers ...

stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. \n Define data models, data flows, metadata standards, and integration patterns. \n Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. \n Ensure data security, privacy, compliance, and risk … data platforms in enterprise settings. \n Expertise in conceptual, logical, and physical data modelling. \n Deep understanding of data platforms, data integration, and analytics architectures. \n Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. \n Broad experience with data ...

while partnering with the Director of AI and Decision Intelligence on major strategic decisions. \n Translate research ideas into production-ready system designs, evaluating integration approaches, engineering effort, trade-offs and delivery sequencing. \n Identify architectural risks early, ensuring short-term decisions do not create long-term constraints … unnecessary technical debt. \n Build prototypes that validate architectural assumptions, integration patterns and scalability requirements, rather than simply proving that a model or idea works in isolation. \n Define clear boundaries and interfaces between learned and non-learned system components, enabling both to evolve independently without introducing instability. ...

cloud development experience \n SOQL/SOSL/DML operation and SOQL query optimizations \n REST integrations with external services \n Testing methodologies & frameworks & integration testing \n Experience working in an Agile team (Scrum/Kanban) \n Migration tools \n Experience with Lightning Web Components \n Awareness of clean … Salesforce development experience \n A good understanding of CI/CD principles and automated testing \n Marketing cloud experience \n Demonstrated experience in different integration patterns \n\n #ICBCareers #ICBngineering \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

market strategy \n Comprehensive understanding of the sales and marketing technology stack (e.g., CRM, sales intelligence, marketing automation) and third-party data integration patterns. Direct experience with the Salesforce ecosystem is a major plus \n A proven ability to operate as a trusted advisor in complex and lengthy sales ...

software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. \n Essential Experience: \n \n Extensive experience … Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). \n Expertise in applying deep learning techniques (e.g., CNNs, RNNs ...