26 to 29 of 29 Pinecone Jobs in London

operating knowledge graphs or graph databases (e.g., Jena Fuseki, Neo4j, Amazon Neptune or equivalent). Experience with vector databases and embedding pipelines (e.g., Pinecone, Weaviate, Qdrant, pgvector). Practical experience implementing RAG architectures or LLM‐integrated data pipelines. Familiarity with semantic web standards — JSON‐LD, RDF, OWL, or SKOS. Strong ...

development practices (testing, code review, CI/CD). Preferred Skills Hands‐on experience with cloud‐native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Familiarity with Anaplan or similar enterprise planning platforms Experience with A/ ...

/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This is a great opportunity to join a collaborative team and have genuine influence over the development of a modern data platform ...

high-performance APIs and caching strategies enabling low‐latency data access for AI agents and orchestration systems. Implement vector-based data retrieval layers (pgVector, Pinecone) and ensure efficient embedding pipelines for AI contexts. Partner with AI teams to monitor data latency, cost efficiency, and observability metrics. Collaboration & Governance Partner with ...