101 to 125 of 144 Translating Business Requirements Jobs in the North of England

role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines ...

role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines ...

role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines ...

processes. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities. Responsibilities Lead … operational processes are consistently applied. Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery. Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications. ...

processes. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities. Responsibilities Lead … operational processes are consistently applied. Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery. Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications. ...

processes. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities. Responsibilities Lead … operational processes are consistently applied. Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery. Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications. ...

data quality processes, lifecycle management, and compliance with privacy and regulatory standards. Strong analytical thinking and problem-solving skills, with the ability to translate business requirements into effective data designs and technical solutions. Excellent communication, stakeholder management, and engagement skills, with the ability to collaborate with ...

data quality processes, lifecycle management, and compliance with privacy and regulatory standards. Strong analytical thinking and problem-solving skills, with the ability to translate business requirements into effective data designs and technical solutions. Excellent communication, stakeholder management, and engagement skills, with the ability to collaborate with ...

build of a new version of a complex B2B fintech platform Partnering closely with the Director of Software, Product, and Engineering Leads to translate business requirements into scalable technical solutions Leading on system design and technical decision-making across backend services, APIs, and cloud infrastructure Remaining ...

model-driven applications Provide technical leadership and mentorship to delivery teams Ensure scalability, quality, and security across complex solutions Conduct workshops and translate business requirements into technical designs Configure CRM forms, dashboards, and views tailored to client needs About You: Strong hands-on experience with Dynamics … Power Platform Proven expertise in designing enterprise-scale CRM solutions integrated with Azure Proficient in implementing custom business logic using plugins, workflows, and low/no-code tools Experience working with REST/SOAP APIs and Azure services Passionate about innovation, with exposure to AI Builder and Dynamics ...

integrity and long-term business continuity. Key Responsibilities Lead supply chain workstreams across SAP MM, PP, SD, WM and PS modules Translate business requirements into functional specifications and configuration Map, define and optimise procurement, planning, warehousing and sales processes Oversee data migration and master ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...

seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience … costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts. Translate business requirements into scalable ML solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay ...