76 to 100 of 103 Prompt Engineering Jobs in the UK excluding London

intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with … responsibilities Design and build AI-powered product features end-to-end (frontend, backend, and AI layer) Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures Build scalable backend services ...

design, build, and delivery of an end-to-end internal AI-enabled helpdesk and workflow automation platform. This role combines hands-on full-stack engineering with technical leadership and delivery accountability, owning solutions across web UI, Back End services, APIs, AI/agent orchestration, and enterprise integrations. The successful … solution design across Front End, Back End, APIs, and AI/agent workflows. Make architectural decisions aligned to technology standards, cloud strategy, and engineering best practices. Provide hands-on guidance, code reviews, and mentoring to engineers within the delivery team. Ensure non-functional requirements are met, including security, performance ...

Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling, and orchestration frameworks Ability to work autonomously in a scale-up environment A product-focused mindset — you enjoy owning features ...

hallucinations, and output quality issues Skills & Experience Essential: Experience with workflow automation platforms (n8n, Make, Zapier, Node-RED, or similar) Hands-on experience with prompt engineering and optimisation Strong understanding of large language models in production scenarios Practical experience integrating systems using REST APIs and webhooks Experience working ...

scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive … complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating ...

working with AI in production, including: Building agent-style or multi-step AI workflows Using LLMs (Azure OpenAI/OpenAI) in real applications Implementing prompt engineering in production environments Working with RAG, embeddings, or vector-based search Designing systems with human-in-the-loop controls and governance Understanding … Azure Functions Experience building robust, scalable, enterprise-grade systems Strong SQL Server/T-SQL knowledge Experience with APIs, integrations, and distributed systems Strong engineering fundamentals and coding best practices AI Experience Proven experience delivering AI/LLM-powered features in production Hands-on experience building agentic or workflow ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

such as Claude, Cursor, or GitHub Copilot Demonstrable examples where AI tooling reduced delivery time by 2x or more on a meaningful task Strong prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracy Desirable, but no essential: Experience with ...

workflows or intelligent automation Hands-on exposure to tools such as Azure OpenAI, Copilot Studio, or similar platforms Understanding of generative AI approaches, including prompt engineering and RAG Experience integrating enterprise systems via APIs and connectors Familiarity with Power Platform (Power Automate, Power Apps) Awareness of governance, security ...

integrate) Ensure AI functionality is secure, scalable, and maintainable Collaborate on architectural decisions and technical direction Review code, mentor colleagues, and contribute to engineering best practices Take ownership of features from idea through to production release What We're Looking For Strong commercial experience as a Senior .NET/… agile environment Able to balance innovation with robustness and user impact Nice to Have Experience working on customer-facing products Exposure to data pipelines, prompt engineering, or AI optimisation Interest in shaping how AI is adopted across a wider product suite Why Join? Work on a well-established ...

develop and deploy new projects as well as maintain existing systems across both Azure and AWS environments. We expect you to bring a strong engineering foundation, but we also expect you to leverage modern AI tooling to work broadly and effectively across the full stack. The boundaries of what … GitHub Copilot, Cursor, Claude) as a core part of your daily development workflow — not just autocomplete, but agent-led development, spec-driven development and prompt engineering for code generation Ability to read, review and reason about AI-generated code — knowing when to trust it, when to challenge ...

training programmes focused on Microsoft Copilot Develop role-based learning journeys and training frameworks Create training assets including: Slide decks Hands-on exercises Prompt libraries Job aids and quick reference guides 3. Training Delivery & Adoption Deliver live training sessions (on-campus and virtual where required) Facilitate hands-on workshops … Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams) Training design tools (PowerPoint, eLearning tools, content authoring tools) Learning platforms (Moodle or similar VLE systems) Prompt engineering and AI workflow design tools Experience Required Proven experience delivering enterprise-scale training programmes across multiple teams or organisations Experience ...

part of a team creating next-generation investment finance technology. Based in London, you will be a key part of the team responsible for engineering a cloud-first Private Markets platform using a microservice architecture, supporting hundreds of client businesses, managing and analysing their portfolios. The team’s focus … team is very quickly moving to AI-enabled development, and you will be at the heart of that transformation. Responsibilities Work closely alongside the Engineering Lead to deliver the technical strategy for your team. Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles. ...

delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key ResponsibilitiesProblem Definition & Discovery (Supported Ownership) Support discovery activities … first-pass requirements Identify gaps, edge cases, and assumptions Ensure final requirements are: Understandable Testable Reviewed and approved by accountable stakeholders AI-Assisted Analysis & Prompt Contribution Contribute to the creation and refinement of analysis and discovery prompts Follow established prompt standards to ensure: Reusability Auditability Safe handling ...

Dynamics, Azure, and third-party APIs. Implement retrieval-augmented generation (RAG) patterns, including knowledge libraries, data sources, grounding, and prompts. Optimize agent behavior through prompt engineering and iterative tuning. Collaborate with business teams to identify automation opportunities and convert requirements into agent designs. About You Experience building copilot ...

tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle-from initial conceptualisation and prompt engineering to production deployment. As a Data Scientist, you will act as the technical architect behind our AI solutions. You won't just ...

development background (JavaScript/TypeScript, .NET/C#, or Python). Experience with cloud platforms and CI/CD pipelines. Fast learner with solid engineering discipline. Able to work independently and collaborate in a small team. Clear communicator with both technical and non-technical audiences. Desirable: Experience with LLMs … prompt engineering, or agent-based AI. Familiarity with AI-assisted development tools. Knowledge of vector search, RAG patterns, or context-management techniques. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note ...

machine learning, and data science, with applications aligned to one of our priority research areas: Health and Life Sciences; Defence and Security; Engineering for Sustainability; Agriculture and Water Resilience; or the Creative Economies. The role is split approximately as 60% to perform applied AI research and 40% to perform … sponsored PhDs, consultancy, and contract research, drawing on prior experience in these areas. You will have research expertise in generative AI (e.g. fine-tuning, prompt engineering, retrieval‐augmented generation) and/or machine learning (e.g. data preparation, model selection, optimisation, and evaluation). You will demonstrate a strong ...

with data governance tools such as Microsoft Purview and DLP policies. Desirable Microsoft certifications (e.g. PL-200, AI‐102, SC‐900). Experience with prompt engineering and Copilot Studio. Background in sustainability, operations, or data‐driven decision‐making. #J-18808-Ljbffr ...

central requirements are: Eligible to get a SC Clearance (ideally active for a quicker start) Python AWS CDK Experience of using AI/Prompt engineering to aid development Call me, Alex Manea, at NonStop Recruitment now for a confidential conversation. Contact me on a.manea@nonstopconsulting .com or (phone ...

central requirements are: Eligible to get a SC Clearance (ideally active for a quicker start) Python AWS CDK Experience of using AI/Prompt engineering to aid development Call me, Alex Manea, at NonStop Recruitment now for a confidential conversation. Contact me on a.manea@nonstopconsulting .com or (phone ...

teams Evaluate emerging AI capabilities and integrate relevant innovations Qualifications AI Expertise (Essential): Proven experience working with applied AI systems Strong understanding of LLMs, prompt engineering, and agent-based workflows Experience with AI automation and orchestration across tools/models Awareness of AI governance, risk, and security considerations ...

pieces of content that AI models (Google AI Overviews, Gemini, ChatGPT) love to read, understand, and - most importantly - cite. What You’ll Be Doing • Prompt Engineering: Moving beyond "Write a post" to building complex, multi- step workflows that generate elite-level output. • The "One-to-Many" System: Mastering ...

strategic direction into product content and to influence consensus-building across systems and brands. Demonstrated curiosity to explore and apply emerging AI technologies, including prompt engineering and structured content, to enhance strategy and operational efficiency. Experience applying human-centered design practices to content challenges across systems and brands. ...

outputs with confidence. Your Profile 6-8+ years of experience tackling complex, enterprise-level web applications. AI Sophistication: You understand AI UX beyond prompt engineering. You can design for trade-offs between latency, accuracy, and helpfulness. High-Trust Expertise: Experience in regulated industries (FinTech, HealthTech, GovTech, etc.) where ...