12 of 12 Remote/Hybrid Google Gemini Jobs in England

technical delivery, governance, and optimization of enterprise AI productivity platforms. You will focus on leveraging cutting-edge technologies such as Microsoft 365 Copilot and Google Workspace Gemini, among other AI tools, to enhance collaboration and automate processes. Key Responsibilities: Lead Integration: Spearhead the technical enablement of Microsoft … Copilot, Google Workspace Gemini, and NotebookLM. Build AI Solutions: Create and embed AI-powered solutions using platform APIs and automation tools. Subject Matter Expert: Act as the go-to expert for enterprise AI workspace technologies, supporting various teams across the organization. Integrate Capabilities: Connect AI features with enterprise ...

applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone/ChromaDB/Weaviate ...

Build Generative AI Solutions Develop and enhance GenAI applications using frameworks such as LangChain, LangGraph, or LlamaIndex , integrating with LLMs including GPT, Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone or Weaviate . ...

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 ...

/TypeScript) with 3+ years in a leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity with trading ...

least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt ...

come to rely on our guidance. Here is what you will actually do: Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok) Master Model Context Protocol (MCP), API, and build our library of data integrations Test, evaluate, and grade AI tools for finance ...

unblock the deal. Be a "Force Multiplier" with AI: We believe in efficiency. You will use modern tools like Claude and Gemini to write quick scripts, debug data errors, or analyze file structures, allowing you to move faster than a traditional engineer. Build Confidence in the Plan: You will ...

with content teams to create structured, authoritative content that performs in AI-generated results Building and executing a GEO strategy across platforms like ChatGPT, Gemini, Grok, Perplexity and any others Designing experiments to test AI visibility, citations and answer adoption Developing reporting that makes sense of a rapidly changing ...

workflows, communicate with one another, and integrate securely with enterprise banking systems. Key Responsibilities Agentic AI Architecture: Architect end-to-end GenAI solutions using Google Cloud Platform (GCP) , specifically leveraging Vertex AI APIs and the Agent Development Kit (ADK) . Multi-Agent Ecosystems: Design architectures that support Agent … ensure all GenAI deployments meet enterprise data security and regulatory standards. Skills & Requirements Mandatory: Proven experience in Application Architecture Tech Stack: Deep expertise in Google Cloud Platform (GCP) , Vertex AI , and Gemini Models . AI Frameworks: Strong hands-on experience with LangChain , Vector Databases (Pinecone, Weaviate, etc. ...

Head of Engineering - Remote - UK - £80,000-£150,000 GenAI, ML, Spark Why Join This Company? This is a leadership role for someone who wants to work in a truly AI-first engineering environment, not ...