26 to 45 of 45 pgvector Jobs in the UK

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 ...

emphasis on Python development in production environments Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker ...

Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent). Practical expertise in RAG design, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search). Experience with agentic architectures, function/tool calling, and structured outputs. Solid prompt engineering, evaluation, and LLM guardrail/safety experience. ...

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 ...

DOCX and HTML, including layout-aware parsing (headings, tables, multi-column pages) • RAG retrieval pipelines: Chunking strategy, embedding models, vector search (Postgres with pgvector or similar) and metadata design • Postgres: Schema design, indexing (including vector indexes) and performance at scale • Retrieval evaluation: Building labelled ground-truth datasets and measuring retrieval ...

DOCX and HTML, including layout-aware parsing (headings, tables, multi-column pages) • RAG retrieval pipelines: Chunking strategy, embedding models, vector search (Postgres with pgvector or similar) and metadata design • Postgres: Schema design, indexing (including vector indexes) and performance at scale • Retrieval evaluation: Building labelled ground-truth datasets and measuring retrieval ...

GraphDB, RDF, OWL, SPARQL AI/ML data infrastructure: vector databases and search platforms such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature stores such as Feast or Tecton; model lifecycle and experiment tracking tools such as MLflow Personal attributes Comfortable working in ambiguous consulting environments, shaping ...

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 ...

comfort working with AI tools and prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python ...

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 ...

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 technical workshops and explaining ...

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 ...

optimisation. A track record of diagnosing and fixing performance bottlenecks in live systems through profiling and measurement. Nice to Have: Experience with PostgreSQL/pgvector, OpenSearch (or Elasticsearch), Spark/Delta Lake, AWS, NoSQL databases, or Rust/C++ is useful. The Founders You'll partner with a founding team ...

agent harness (planning, tool use, context) and put evals around what you ship, together with our QA team.Stack: TypeScript/Node.js, MongoDB, pgvector, AWS Bedrock, LiteLLM, Mastra, some React. Engineers pick their own AI tooling (Claude Code, Codex, Cursor...) and we pay for the usage.We're looking for programmers first ...

Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information ...

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 ...

fundamentals: WAL behavior, checkpoints, autovacuum, query planning, locking, replication lag, backup/restore, and capacity planning. Help build and operate vector data capabilities, including pgvector and dedicated VectorDB platforms where appropriate. Define production patterns for embeddings, approximate nearest neighbor indexes, metadata filtering, recall/latency tradeoffs, reindexing, data freshness … connection pooling and traffic management for PostgreSQL, especially PgBouncer, HAProxy, Kubernetes service routing, or comparable patterns. Practical VectorDB or vector search experience, such as pgvector, Qdrant, Milvus, Weaviate, OpenSearch vector search, or similar systems. Ability to reason about vector index types and operational tradeoffs, including HNSW/IVFFlat-style indexes ...