10 of 10 Weaviate Jobs in the UK excluding London

help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with ...

Security First" approach to the software development lifecycle (SDLC). Desirable: AI & Data Underpinnings Vector Databases: Experience with high-dimensional data retrieval using Milvus, Weaviate, or Pinecone (essential for RAG architectures). Data Orchestration: Familiarity with Airflow, Prefect, or Dagster for managing complex data movement and model training pipelines. Search ...

APIs or services, with attention to latency, cost, scalability, and reliability Design and implement RAG (Retrieval‐Augmented Generation) systems using vector databases (Pinecone, Weaviate, Chroma), including embedding, chunking, and retrieval‐quality evaluation Integrate LLM APIs (OpenAI, Anthropic, etc.) into production services and product workflows Design and build agentic AI systems … Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen, or CrewAI; tool/function calling, orchestration, memory, and guardrails RAG & vector databases —-Pinecone, Weaviate, or Chroma Databases – PostgreSQL, MongoDB, or Firebase Cloud & deployment – AWS, GCP, or Azure; Docker; CI/CD Security & compliance – secure coding, secrets management, access controls ...

cost optimisation Scalable cloud-based AI deployment Experience with technologies such as LangGraph, LangChain, LlamaIndex, AutoGen, Google Vertex AI, Gemini, BigQuery, Qdrant, ChromaDB, Pinecone, Weaviate or Milvus would be valuable. Network Programmability Hands-on network programmability experience is not essential , but you should understand the technologies and tools likely ...

cost optimisation Scalable cloud-based AI deployment Experience with technologies such as LangGraph, LangChain, LlamaIndex, AutoGen, Google Vertex AI, Gemini, BigQuery, Qdrant, ChromaDB, Pinecone, Weaviate or Milvus would be valuable. Network Programmability Hands-on network programmability experience is not essential , but you should understand the technologies and tools likely ...

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 ...

DevOps: Repos Boards Pipelines Experience with Databricks model training and inference workflows Databricks Apps and Lakebase Experience with RAG pipelines Experience with vector databases (Weaviate, Milvus) Familiarity with LLM evaluation frameworks (e.g. DeepEval) Soft Skills Strong sense of ownership and accountability Strong stakeholder management skills Proactive attitude and ability ...

your own) and a clear view on when agents are the right tool versus when they’re overkill Comfortable working with vector stores (Pinecone, Weaviate, Chroma, pgVector, or similar) Solid software engineering fundamentals — testing, CI/CD, observability — applied to non-deterministic systems Comfortable in client‐facing settings, including running ...

Experience with Digital Twin platforms Experience with Knowledge Graph implementations Data Mesh architectures LangChain, LangGraph and LlamaIndex Vertex AI and Gemini Vector databases (Pinecone, Weaviate, Milvus, Qdrant) Kubernetes and GKE Autonomous Network and AI-Ops programmes If you're excited about this role but don’t meet every requirement ...

platformsTelecom Domain ExperienceNice-to-Have QualificationsExperience with Digital Twin platformsExperience with Knowledge Graph implementationsData Mesh architecturesLangChain, LangGraph and LlamaIndexVertex AI and GeminiVector databases (Pinecone, Weaviate, Milvus, Qdrant)Kubernetes and GKEAutonomous Network and AI-Ops programmesIf you're excited about this role but don’t meet every requirement, we still encourage ...