101 to 125 of 143 Prompt Engineering Jobs in the UK excluding London

Full Stack Developer to play a key role in the evolution of their flagship AI platform. This is an opportunity to work on genuine engineering challenges, combining large-scale data processing, production AI systems and modern software engineering to build a platform that customers rely on to make … important commercial decisions. Working within a small, highly experienced engineering team, you'll have significant ownership from day one and help shape both the product and technical direction. The Role This role sits at the intersection of: Large-scale data engineering and entity resolution. Production AI systems that ...

integrations and automation. Python or another relevant programming language. AI platforms and tools such as OpenAI/Azure OpenAI, Microsoft Copilot or similar technologies. Prompt engineering, RAG, AI agents or intelligent workflow automation. Working with business systems and data. Taking technical projects from discovery and prototype through … importantly, you'll be comfortable speaking with non-technical stakeholders, asking the right questions and turning operational problems into practical solutions. Experience within construction, engineering or another operationally complex environment would be useful, but isn't essential. Why This Role? This isn't a position where you'll inherit ...

Office-based Working Hours: 40 hours per week (Full-time) Are you looking to drive AI-first transformation and redefine the future of software engineering? We have an exciting opportunity for you - AI Architect ! Careers at TCS: It Means More TCS is a purpose-led transformation company, built … matters through challenging projects that demand innovation, collaboration, and thought leadership. Play a strategic role in transforming business and technology delivery through AI-first engineering practices. Shape the adoption of AI across software development, IT service delivery, and business transformation programmes. Lead innovation initiatives that drive measurable improvements ...

evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop … governance, and fostering a culture of responsible AI adoption across the organization. Education Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field Responsibilities Own the product lifecycle for increasing AI integration across Moody's business services and making Moody ...

cloud and/or locally hosted LLMs (e.g. OpenAI, Anthropic, Azure OpenAI, open-source models) into live products Build RAG pipelines, agentic workflows, and prompt/conversation systems Collaborate with data, product, and engineering teams to translate business requirements into technical solutions Implement CI/CD pipelines, monitoring … plus cloud platforms (Azure, AWS, or GCP) Hands-on experience with LLM-based application development (RAG, agents, copilots) Familiarity with vector databases, embeddings, and prompt engineering Experience with containerisation and orchestration (Docker/Kubernetes) a plus Strong understanding of scalable, production-grade system design Comfortable working across experimentation ...

will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies. Key Responsibilities Take concepts from problem statement through to working proof-of-concept … technologies, particularly Gemini-based solutions. Strong Python development skills, with TypeScript experience highly desirable. Full stack development experience, with a particular strength in backend engineering and API development. Experience building applications using React, Next.js, Svelte or similar modern front-end technologies. Strong knowledge of SQL, NoSQL and vector databases ...

technologies, and large language models. You'll work on customer-facing projects, developing scalable, production-ready solutions while helping establish best practices for AI engineering across the wider development team. Key Responsibilities Design, build, and deploy AI-enabled software solutions. Develop applications using technologies such as .NET, Python, React … understand requirements and deliver practical technical solutions. Define technical standards, reusable components, and development best practices. Evaluate emerging AI technologies and recommend improvements to engineering processes. Mentor developers and contribute to the growth of AI capability within the team. Skills and Experience Essential Strong commercial experience in full stack ...

manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance … based databases. Strong experience working within AWS environments and services. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. ...

that will support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of software engineering and agentic AI, developing intelligent applications that combine modern full-stack development with emerging AI technologies. You’ll join a forward-thinking engineering … building scalable software solutions using React, TypeScript and Node.js while integrating LLMs, AI agents and automation capabilities. You’ll work closely with product and engineering teams to translate ideas into production-ready solutions, helping shape the future direction of agentic AI within the business. What we’re looking ...

MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability ...

interact directly with real-world software tools. Key Responsibilities Agentic Orchestration: Build stateful AI workflows using LangGraph or LangChain . API & Backend Engineering: Write robust Python backends enabling LLMs to execute Function Calling and tool-use. Context & Memory: Optimize prompt engineering, context windows, and retrieval systems … Apply today with your updated CV to set up an initial call! Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this ...

What you'll be doing Building AI-powered internal applications and operational tools using Python and React. Designing intelligent workflows, agent-based solutions and prompt strategies to improve business processes. Developing cloud-native solutions across the Microsoft Azure platform. Integrating AI into existing systems through APIs and modern integration … patterns. Collaborating with Solution Architects and Business Analysts to identify opportunities where AI can genuinely add value. Contributing to shared frameworks, reusable components and engineering best practice. What we're looking for You'll enjoy solving problems, questioning how things are done and using technology to improve ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

Anthropic/Claude or similar foundation models. - Experience building AI workflows, agents, copilots or automation solutions. - Experience integrating APIs and SaaS platforms. - Strong software engineering skills in Python, JavaScript or another modern language. - Experience with automation platforms such as Make, Zapier, n8n or similar. - Strong understanding of prompt engineering, retrieval techniques and modern AI tooling. - A genuine product mindset with the ability to move quickly from idea to production. - Excellent communication skills with the ability to translate business problems into technical solutions. - Experience within e-commerce, retail or another fast-paced digital environment would be advantageous. ...

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 ...