17 of 17 Remote/Hybrid pgvector Jobs in England

similar.* CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins).* Database Management: Experience with vector databases (ChromaDB, Pinecone, PGVector, Qdrant, MongoDB Vector Search); familiarity with NoSQL (MongoDB preferred) and SQL (PostgreSQL) databases.**Commercial and Stakeholder Skills*** Commercial awareness: able to reason about effort, scope ...

similar.* CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins).* Database Management: Experience with vector databases (ChromaDB, Pinecone, PGVector, Qdrant, MongoDB Vector Search); familiarity with NoSQL (MongoDB preferred) and SQL (PostgreSQL) databases.**Commercial and Stakeholder Skills*** Commercial awareness: able to reason about effort, scope ...

similar. CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins). Database Management: Experience with vector databases (ChromaDB, Pinecone, PGVector, Qdrant, MongoDB Vector Search); familiarity with NoSQL (MongoDB preferred) and SQL (PostgreSQL) databases. Commercial and Stakeholder Skills Commercial awareness: able to reason about effort, scope ...

weight models) with tools, data, and external systems through MCP and custom connectors. Apply RAG techniques where they actuallyhelp:vector databases (Pinecone, Chroma,Weaviate,pgvector), hybrid retrieval withElasticSearchorSolr, and BM25 + similarity search. Work across relational, document, key‐value, and graph stores as the problem demands; use event‐driven patterns ...

Build 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 ...

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 ...

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 ...

Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust)MLOps & LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector)• Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks• Exposure to fine-tuning, RLHF, or SLM distillation is a strong plusCloud-Native ...

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 ...

developers as customers and measure whether they adopt what you build. Desirable Experience: Experience with RAG architectures and vector databases (for example Pinecone, Weaviate, pgvector, Azure AI Search). Familiarity with agent and orchestration frameworks such as LangChain, LlamaIndex or the Model Context Protocol (MCP). LLM observability and evaluation ...

native SDKs; sandboxing,permissioning, and human-in-the-loop design Retrieval and knowledge: RAG and Graph RAG at enterprise scale; vector and hybrid search (pgvector, OpenSearch/Elasticsearch, or dedicated stores) including chunking strategy, reranking, and distributed retrieval; knowledge graphs and entity resolution; Text-to-SQL over complex enterprise schemas ...

experience with LLM APIs and frameworks (e.g. OpenAI/Anthropic SDKs, LangChain, LlamaIndex, or similar) Solid understanding of RAG architectures, embeddings, and vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar) Experience building APIs with FastAPI or Django; async Python is a plus Strong PostgreSQL skills; pgvector experience is a plus ...

AI Engineer Our client, a leading global supplier for IT services, requires AI Consultant/Engineer to be based at their client's office in Cardiff/Manchester/London, UK. This is a hybrid ...

frontend development. Hands‐on experience with Generative AI, LLMs and AI frameworks. Experience building applications on cloud platforms. Knowledge of vector databases such as PGVector or MongoDB. Strong stakeholder management and communication skills. Experience leading technical projects and engineering teams. Nice‐to‐Have Consulting or client‐facing delivery experience. Experience ...

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As a Principal AI Solutions Architect reporting to VP of Software Engineering, you'll play a central role in shaping the next generation of intelligent services across our enterprise technology landscape. You will combine deep ...

Principal AI Solutions Architect### Principal AI Solutions ArchitectApply: United Kingdom - London: Full time: Posted Today: R0026833As a **Principal AI Solutions Architect** reporting to VP of Software Engineering, you'll play a central role in shaping ...