4 of 4 Permanent Pinecone Jobs in Central London

AI Automation Engineer

Hiring Organisation
McCabe & Barton
Location
Central London, London, United Kingdom
Employment Type
Permanent
Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including ...

Generative AI Engineer

Hiring Organisation
83zero Limited
Location
Central London, London, United Kingdom
Employment Type
Permanent
Salary
£85,000
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 ...

GenAI Full Stack Engineer - Consultant / Senior Consultant

Hiring Organisation
83zero Limited
Location
City of London, London, United Kingdom
Employment Type
Permanent
Salary
£70,000
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 ...

Lead GenAI Full Stack Engineer / Managing Consultant

Hiring Organisation
83zero Limited
Location
City of London, London, United Kingdom
Employment Type
Permanent
Salary
£85,000
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 ...