126 to 134 of 134 Prompt Engineering Jobs in the UK excluding London

production. Essential experience Strong hands-on experience developing solutions using Microsoft Copilot Studio. Proven experience building Copilot agents, skills or AI-powered workflows. Strong prompt engineering and experience grounding AI solutions using Microsoft 365/SharePoint data. Hands-on Power Automate/Power Platform experience, with an understanding ...

with long-term team growthProficient in project management principles and service delivery best practicesCustomer-focused mindset with a commitment to service excellenceDesirable - Knowledge of prompt engineering, generative AI tools, and automation platforms used in IT operations and customer support environmentsAwareness of emerging AI technologies and their potential application ...

connectivity Excellent stakeholder management and requirements gathering skills Ability to operate autonomously within a fast-paced delivery environment Desirable Experience AI-enabled product development Prompt engineering exposure Low-code/no-code platforms Workflow automation Digital claims transformation initiatives This is an excellent opportunity to play ...

GDPR and Caldicott principles Experienced in user research, requirements gathering and prioritisation Familiarity with health technology or other regulated environments Strong AI literacy, including prompt engineering, evaluating outputs and responsible AI delivery Experience of data platform growth, healthcare data standards and commercial models for data services is advantageous ...

operations. You will work hands-on on strategic initiatives, delivering performance for departments and stakeholders across the business. The role combines full-stack software engineering, domain learning, stakeholder collaboration and practical GenAI delivery, helping Digital Solutions build the smartest tools with strong AI capabilities on the grid. Your duties … technical workstreams, fromrequirements capture,through to production delivery and ongoing improvement. Contribute hands-on to strategic Digital Solutions projects that support end-to-end engineering and operational processes. Work with engineering, operations and business stakeholders to understand workflows, challengeassumptionsand turn domain needs into pragmatic digital solutions. Build ...

/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As an Applied ML and Generative Lead within J.P.Morgan, you will … operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet ...

business-facing role works directly with stakeholders to understand current ways of working, translate opportunities into safe, measurable AI-enabled solutions and apply structured prompt engineering, automation and approved platforms. #J-18808-Ljbffr ...

design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating cutting‐edge papers into scalable, reliable solutions. This is a high‐impact role where you'll mentor junior engineers, shape our ML architecture … stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes ...

allows. Some travel may be required throughout the year to attend innovation workshops with the Alliance. What we're looking for A qualification in Engineering, Computer Science, Software Engineering or a related discipline. Experience working within manufacturing operations, ideally supporting digital transformation, Industry 4.0, automation or process improvement … digital/data concepts and physical manufacturing processes, including mechanical assembly lines. Knowledge of data architectures, cloud computing data pipelines, databases, Node-RED and prompt engineering. Strong problem-solving skills and the ability to translate business challenges into practical digital solutions. Excellent communication skills, with the confidence to work ...