16 of 16 pgvector Jobs in the UK

Engineering Work with AI+ML pipelines throughAzure ML,AWS SageMaker,Vertex AI,Databricks, orModal/Fly.iofor lightweight LLM deployment. Utilizevector databases(Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. UseAI-powered dev tools(GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration. ImplementLLMOps/PromptOpsusing: Weights & Biases,MLflow,LangSmith,LangFuse,PromptLayer ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

approaches are more suitable Desirable Experience Advanced LLM techniques, including agents, tool use and agentic workflows Experience with vector databases (e.g. Pinecone, Weaviate, pgvector) Feature store technologies such as Feast or AWS Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large ...

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 platform ...

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 platform ...

Well 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 ...

systems: chunking strategies, document schemas, metadata, hybrid/dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search, pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners’ research and product offerings, including document understanding ...

content filters, guardrails. LLMOps practices: experiment tracking, prompt/version control, offline/online evals. Desirable: Doc processing (OCR, chunking), vector DBs (OpenSearch/pgvector). Experience working within NatWest engineering standards and governance. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business ...

content filters, guardrails. LLMOps practices: experiment tracking, prompt/version control, offline/online evals. Desirable: Doc processing (OCR, chunking), vector DBs (OpenSearch/pgvector). Experience working within NatWest engineering standards and governance. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business ...

enterprise controls. • Frameworks & vector stores: Apply OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel where useful; integrate Azure Cognitive Search, Redis/pgvector, or managed vector services. • Copilot/Graph & app embeds: Where valuable, integrate via Copilot Studio and Microsoft Graph; wire assistants into Teams/SharePoint and line … RBAC), custom GPTs governance, usage analytics. • Fine‐tuning (dataset QA, training/eval pipelines, regression testing). • RAG stacks (Azure Cognitive Search, Redis/pgvector), OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel; • OpenAI Observability, OpenTelemetry. • Professional-level cloud certifications Representative problems you’ll work on Clinical advisors, shopping ...

enterprise controls. • Frameworks & vector stores: Apply OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel where useful; integrate Azure Cognitive Search, Redis/pgvector, or managed vector services. • Copilot/Graph & app embeds: Where valuable, integrate via Copilot Studio and Microsoft Graph; wire assistants into Teams/SharePoint and line … RBAC), custom GPTs governance, usage analytics. • Fine‐tuning (dataset QA, training/eval pipelines, regression testing). • RAG stacks (Azure Cognitive Search, Redis/pgvector), OpenAI Agent SDK, LangChain/LangGraph or Semantic Kernel; • OpenAI Observability, OpenTelemetry. • Professional-level cloud certifications Representative problems you’ll work on Clinical advisors, shopping ...