3 of 3 Release Management Jobs in Devon

line with clinical, operational and digital strategic priorities and mandatory requirements. You will be responsible for leading and directing system design, configuration standards, release management, testing, training, change control and benefits-led optimisation.You will work closely with senior clinical, operational, digital and supplier colleagues to support effective governance … safe decision-making and continuous improvement. The role includes oversight of system development roadmaps, service assurance, risk management, performance reporting, stakeholder engagement, and the delivery of agreed BAU and optimisation work programmes.The postholder will be responsible for the delivery of the One Devon Acutes Electronic Patient Record (EPR) design ...

. The successful candidate will champion best practice across the software delivery lifecycle, ensuring that requirements, user stories, acceptance criteria, system testing, and environment management are designed and executed to a consistently high standard. The ultimate goal is to improve quality upstream, reduce defects entering UAT, and increase confidence … exit criteria. Drive a culture of quality ownership across business and technology functions. Create and maintain testing KPIs and reporting for senior stakeholders. Environment Management Take ownership of all non-production environments across Salesforce, ServiceNow, Eclipse, and associated integrations. Develop an environment management roadmap to improve environment stability ...

/ML services, data flows, system integration, model behaviour, production support, and operational reliability.Mentor and/or train engineers as directed by department management, ensuring they are knowledgeable in critical aspects of AI/ML engineering, MLOps, SDLC practices, and responsible use of AI-assisted development tools.Keep abreast … system design, APIs, distributed systems, automated testing, code review, maintainability, reliability, and production support.Strong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support.Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search ...