11 of 11 DemandTrendContract Prompt Engineering Jobs in London

GenAI Prompt Engineer Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. This will need 2-3 days working onsite in Central London. The Role & Responsibilities Design, test, and refine prompts to optimise the performance of LLMs across various tasks (e.g., summarisation, Q&A, content … generation, reasoning). Develop prompt libraries and reusable templates for internal and external use cases. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Analyse model outputs and user feedback to iteratively improve prompt effectiveness and reliability. Stay current with the latest research and advancements in prompt engineering … Bachelors or Masters degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. More ❯

GenAI Prompt Engineer Certain Advantage are recruiting on behalf of our globally renowned brand for a GenAI Prompt Engineer in London, initially until 31st Dec. This will need 2-3 days working onsite in Central London. The Role & Responsibilities Design, test, and refine prompts to optimise the performance of LLMs across various tasks (e.g., summarisation, Q&A, content … generation, reasoning). Develop prompt libraries and reusable templates for internal and external use cases. Collaborate with cross-functional teams to integrate prompt engineering into product workflows and AI pipelines. Analyse model outputs and user feedback to iteratively improve prompt effectiveness and reliability. Stay current with the latest research and advancements in prompt engineering … or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. More ❯

in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection … Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence More ❯

in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection … Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence More ❯

looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help create internal benchmarks to evaluate AI agent performance. Key Responsibilities … improvement. Navigate and understand the Python codebase to correlate test results with underlying code. Improving and testing existing AI agents. Identifying where agents perform well and where they fail. Prompt testing and tuning to optimize agent responses. Flagging test results as pass/fail based on expected behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering More ❯

to contribute to impactful service delivery innovations. Key Responsibilities: Design and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high … experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers More ❯

to contribute to impactful service delivery innovations. Key Responsibilities: Design and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high … experience in libraries such as Numpy, Pandas, Scikit-Learn, Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers More ❯

solutions to solve complex business challenges. IR 35 Status - Inside Key Responsibilities Design, build, and deploy Python-based AI applications. Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. Develop LLM-assisted frameworks and contribute to scalable AI architectures. Write clean, maintainable, and well-documented code. Implement testing pipelines and evaluation frameworks. … with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best More ❯

AI solutions to solve complex business challenges.IR 35 Status - Inside Key Responsibilities Design, build, and deploy Python-based AI applications. Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. Develop LLM-assisted frameworks and contribute to scalable AI architectures. Write clean, maintainable, and well-documented code. Implement testing pipelines and evaluation frameworks. … with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best More ❯

Lead user enablement including onboarding, documentation, and training Track Microsoft's Copilot roadmap and apply emerging capabilities Qualifications and Experience Essential Bachelor's degree in Computer Science, Information Systems, Engineering, or similar Proven experience delivering Microsoft 365 solutions with a focus on Copilot Strong understanding of Microsoft Copilot ecosystem including SharePoint, Teams, and Security Copilot Hands-on experience with … Logic Apps, and API Management Expertise in enterprise architecture and secure solution design Technical Skills Microsoft Graph API REST APIs, OAuth, and JSON Microsoft 365 compliance and identity management Prompt engineering and grounding techniques Custom Copilot development via Copilot Studio Desirable Certifications Microsoft Certified Azure Solutions Architect Expert Microsoft 365 Certified Enterprise Administrator Expert TOGAF or equivalent About More ❯

design architecture. Expertise in designing and managing AI lab environments using Infrastructure as Code (IaC), containerisation, and secure networking practises. Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment. Proficiency in building agentic workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable More ❯