1 to 25 of 51 Pinecone Jobs in the UK excluding London

/ML platforms such as Azure ML, AWS SageMaker, Vertex AI, Databricks, Modal, and Fly.io. Deploy and manage vector databases and embedding stores, including Pinecone, Weaviate, Milvus, FAISS, ChromaDB, and pgVector. Implement LLMOps/PromptOps practices using tools such as: Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix ...

behavioural or market data is desirable. Comfortable working within agile engineering teams and enterprise environments. Desirable Skills Experience with vector databases such as FAISS, Pinecone, or Weaviate. Knowledge of enterprise scale Retrieval Augmented Generation systems. Experience within global manufacturing, engineering, or industrial environments. Understanding of data governance, security, and responsible ...

Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). Expertise in prompt engineering, fine-tuning techniques, and vector databases (Pinecone, FAISS, ChromaDB). Strong understanding of transformer architectures and attention mechanisms. Experience deploying AI applications on cloud platforms (AWS, Azure, GCP) and containerisation tools (Docker ...

Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias ...

agent orchestration, memory, evaluation, and observability. Pioneer RAG & Multi-Modal Solutions Implement advanced Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone and Weaviate . Build multi-modal workflows spanning text, voice, and video, with a strong focus on accuracy, explainability, and performance. Design data ingestion and enrichment ...

optimization techniques (quantisation, caching), and MLOps tooling (e.g., MLFlow, Kubeflow). Proven experience designing, implementing, and optimising complex RAG pipelines using vector databases (e.g., Pinecone, PGVector). Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, Langgraph, or custom implementation) and defining tool-use patterns. Demonstrated experience designing complex, multi-tenant ...

Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version ...

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 . Develop Production-Ready Services Write clean, maintainable code in Python and/or JavaScript , contributing to microservices and APIs that meet performance, security ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...

shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/ ...