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5 of 5 Gradio Jobs in Central London
City of London, London, United Kingdom
Hybrid / WFH Options Anson McCade
Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs to connect AI agents to internal and third-party services. Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. More ❯
City of London, London, United Kingdom
Hybrid / WFH Options Anson McCade
Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. • Develop and maintain robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. More ❯
City of London, London, United Kingdom
Hybrid / WFH Options Anson McCade
Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. • Develop and maintain robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. More ❯
City of London, London, United Kingdom Anson McCade
agent frameworks Design and implement agent workflows, memory handling, RAG systems, and semantic search Integrate vector DBs (Pinecone, FAISS, Chroma), cloud AI services, and APIs Develop lightweight UIs (Streamlit, Gradio, React) and observability for demos Work hands-on with prompt engineering, guardrails, and AI safety tools Requirements: Strong Python development skills Hands-on experinece working with GCP and Google teams More ❯
City of London, London, United Kingdom Capital.com
Retrieval: Implement retrieval-augmented workflows: ingest documents, index embeddings (Pinecone, FAISS, Weaviate), and build similarity search features. Rapid Prototyping: Create interactive AI demos and proofs-of-concept with Streamlit, Gradio, or Next.js for stakeholder feedback; MLOps & Deployment: Implement CI/CD pipelines (e.g., GitLab Actions, Apache Airflow), experiment tracking (MLflow), and model monitoring for reliable production workflows; Cross-Functional Collaboration More ❯
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