1 to 25 of 81 Permanent Google Gemini Jobs in the UK

coding → testing → ops). Tooling & Platforms (practitioner proficiency): Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool‐use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x … assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE‐native agentic coding; policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion. Architecture & Integration: Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST ...

users to draw out needs, constraints and opportunities. Design practical AI solutions using todays tools. Use platforms like Microsoft Copilot (M365, GitHub, Windows) , Google Gemini , Power Automate , Power Platform , Google AI Studio, Palantir Foundry, Gotham with the freedom to recommend new tools where they add value. Build … leaders and domain experts. Integrate AI into existing ecosystems. Plug AI into tools clients already use (e.g. Microsoft 365, SharePoint, Adobe, Teams, Dynamics, Salesforce, Google Workspace, internal knowledge bases ) to boost productivity and decision-making. Design for trust, quality and safety. Put robust guardrails, evaluations and quality checks ...

development using FastAPI, Flask, or Django. Knowledge of Docker and containerized deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing robust evaluation frameworks and Responsible ...

build, and optimise production-grade Generative AI applications using frameworks such as LangChain, LangGraph, and LlamaIndex . Integrate with leading LLMs including GPT, Claude, Gemini , as well as self-hosted and fine-tuned models where required. Define patterns for agent orchestration, memory, evaluation, and observability. Pioneer RAG & Multi-Modal ...

integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...

automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud ...