151 to 175 of 182 Prompt Engineering Jobs in England

clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements, ensuring high standards of code quality and engineering rigour. Contribute to technical research, prototyping, and proof-of-concept development to support client proposals and win new work. Define and prove a mature …/Fast API. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong ...

boilerplate, and review code. Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically. Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging). Experience working in an Agile/Scrum environment. Additional ...

hands-on delivery role where you'll be responsible for developing advanced chatbot and voicebot capabilities, integrating enterprise platforms, and helping internal engineering teams build long-term expertise in AI-powered customer and employee engagement solutions. The successful consultant will play a key role in enabling the organisation … voicebot solutions using Cognigy.AI Integrate Cognigy with Azure OpenAI, Azure AI Search and enterprise platforms Deliver practical mentoring and technical enablement to internal engineering teams Design and implement Retrieval Augmented Generation (RAG) solutions Develop AI-powered virtual assistants, knowledge retrieval capabilities and intelligent automation workflows Build secure, scalable ...

Integrating AI services with existing enterprise applications including Microsoft 365, Dynamics and other University systems. Building secure AI solutions using Retrieval Augmented Generation (RAG), prompt engineering and orchestration techniques. Develop Python-based services, APIs and automation scripts to support AI products. Use Power BI to develop dashboards that ...

Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern AI platforms Workflow automation We don’t expect applicants to be experts in every AI technology ...

Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern AI platforms Workflow automation We don’t expect applicants to be experts in every AI technology ...

boilerplate, and review code. Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically. Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging). Experience working in an Agile/Scrum environment. Additional ...

cases. Demonstrate strong data literacy, including the ability to analyse, interpret, and leverage data to inform requirements and validate AI outputs. Apply prompt engineering techniques to optimise Gen AI model performance and ensure business relevance. Validate and iterate on AI solutions, using data-driven feedback to continuously improve ...

talk about the technology or only talk about the business outcome, that's a flag - you do both instinctively. Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs - agents that … shipped, workflows that changed, problems that got solved. Business analysis instincts: Before you write a single line of a prompt, you ask "what's actually broken here?" Your experience mapping processes and structuring problem statements means you build the right thing, not just a technically impressive thing. Technical foundations ...

mentor a team of Engineers to deliver high-quality solutions. You will act as the bridge between client requirements, solution design and hands-on engineering, ensuring outcomes are scalable, performant and commercially sound. This is a hybrid position with occasional travel as required. We Are Recruiting for Two Positions … United Kingdom Fluent German (professional/business level) Excellent written and spoken English Both positions require experience with AI-enabled software development and modern engineering practices. Key Responsibilities Technical Leadership and Architecture: Lead end-to-end technical architecture and delivery of Sitecore-based digital experience platforms. Define and maintain ...

.NET ecosystem, containerization(Docker/Kubernetes), and clean code practices. Additionally, we are looking for a modern architect who actively utilizes AI-driven engineering tools to optimize workflows, accelerate design phases, and maintain a competitive edge. Key Responsibilities API Technology & REST Standards Design ● Define, design, and enforce strict REST … development and deployment workflows using Docker. ● Design, configure, and optimize enterprise deployments on Kubernetes (K8s),managing ingress, service meshes, scalability, and resource limits.Code Quality & Engineering Standards ● Establish rigorous code quality baselines, promoting SOLID principles, classic design patterns, and clean architecture templates. ● Set standards for testing automation (unit, component ...

projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Artificial Intelligence Fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering AI Productivity Tools Workflow Automation Business Process Automation AI Agents and Autonomous Workflows No-Code and Low-Code Automation Platforms API Integrations … realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios Analysing existing business processes ...

deploy enterprise-grade Generative AI solutions. The ideal candidate will have hands-on experience building LLM-powered applications, vector databases, semantic search systems, prompt engineering, and end-to-end RAG pipelines. Strong proficiency in: Python REST APIs ...

solutions, with strong hands-on Power Automate, Power Apps and Power Pages experience. Experience with Copilot Studio, Azure AI Services or similar, including prompt engineering, agent design, knowledge grounding, testing and responsible AI. Strong experience with system integrations, APIs, data connectors and low-code technologies, alongside Microsoft ...

production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including explainability, governance … MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks such as LangChain, LangGraph, or LangSmith. Experience taking ML models from experimentation into production environments. Strong communication skills with ...

implications. The role also provides an opportunity to contribute to innovative approaches to insights generation, including AI-enabled insights capture, Large Language Models (LLMs), prompt engineering and AI-enabled analytics tools . Skills, Qualifications and Experience: Essential Bachelor's degree or equivalent in Life Sciences, Pharmacy or another … models and ways of working. Experience working with internal and external medical, scientific or healthcare data sources. Familiarity with Large Language Models (LLMs) and prompt engineering. Experience using AI-enabled analytics or insights-generation tools. Experience developing data visualisations, dashboards or analytical storytelling. Relevant postgraduate research, fellowship or pharmaceutical ...

platform. The team is small, so the focus can chage week to week and the role offers real breadth from day one. That includes prompt engineering against multimodal models, retrieval and agent systems, computer vision, and the backend services and evaluation tooling that hold it all together. What ...

take initiative and continually develop your skills. Desirable Skills Experience using AI platforms such as ChatGPT, Claude, Gemini or similar. An understanding of prompt engineering or AI-assisted workflows. Experience with Adobe Creative Cloud and/or DaVinci Resolve. Basic website editing experience. Photography or videography skills. ...

Microsoft 365 applications (Word, Excel, PowerPoint, Outlook, Teams, OneNote, OneDrive) Strong working knowledge of Microsoft 365 Copilot or similar generative AI tools, including prompt engineering techniques Experience with NetDocuments Experience supporting mobile devices and associated applications Experience using eLearning development tools Experience delivering remote training via Teams ...

technology, and continuous learning and improvement Ability to design logical workflows and structures digital solutions Familiarity with AI tools and platforms Effective prompt engineering skills Experience of delivering solutions which are compliant with AI, data, and security standards An understanding of LLMs and integrating AI services with other ...

technology, and continuous learning and improvement Ability to design logical workflows and structures digital solutions Familiarity with AI tools and platforms Effective prompt engineering skills Experience of delivering solutions which are compliant with AI, data, and security standards An understanding of LLMs and integrating AI services with other ...

technology, and continuous learning and improvement Ability to design logical workflows and structures digital solutions Familiarity with AI tools and platforms Effective prompt engineering skills Experience of delivering solutions which are compliant with AI, data, and security standards An understanding of LLMs and integrating AI services with other ...

service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools ...

product-led SaaS or platform technologies. Some hands-on exposure to delivering AI-enabled solutions or working alongside AI delivery teams, for example, prompt engineering, AI agent or copilot deployments, or applied LLM projects; a genuine interest in this area is as valuable as direct experience, given Invoka ...

automation programmes - not advising on them from a distance. Hands-on technical capability: You can build as well as strategise. Your experience with prompt engineering, AI agent design, and LLM capabilities means the engineers on your team will respect you - and our stakeholders will trust you. Governance ...