4 of 4 Remote/Hybrid Weaviate Jobs in England

Artificial Intelligence Engineer

Hiring Organisation
HireQ Talent
Location
City of London, London, United Kingdom
. Knowledge of MLOps workflows and ML tooling. Clear communication and a collaborative mindset. Nice‐to‐Haves Experience with LangChain, vector databases (Pinecone, Weaviate etc), or agent frameworks. Track record of advanced side projects or research contributions. Full stack familiarity (e.g., React, Postgres, TypeScript) is a plus. 💼 Why Join ...

Engineering Lead

Hiring Organisation
Forward Role Secure
Location
Cheltenham, England, United Kingdom
NoSQL (MongoDB/DynamoDB) Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity ...

Engineering Lead - AI, Cloud & National Security

Hiring Organisation
Forward Role
Location
Gloucester, Gloucestershire, South West, United Kingdom
Employment Type
Permanent
NoSQL (MongoDB/DynamoDB) Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity ...

Agentic RAG Engineer/Architect - London (Contract)

Hiring Organisation
FUTURUS FINANCIAL RECRUITMENT LTD
Location
City of London, London, United Kingdom
years focused on information retrieval, search systems, NLP, or RAG architectures. ● Deep expertise in vector databases — production experience with at least one of: Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, or Databricks Vector Search. Understanding of index types, distance metrics, sharding, and performance tuning. ● Hands-on experience with embedding models — OpenAI … product architectures in the context of serving retrieval use cases. Technical Stack ● Retrieval Orchestration LangGraph - LangChain, Pydantic.AI ● Vector Databases - Databricks Vector Search, Pinecone/Weaviate/Milvus/pgvector ● Knowledge Graphs - Neo4j, Amazon Neptune, or TigerGraph ● Data Platform - Databricks (Delta Lake, Unity Catalog, Spark SQL, MLflow) ● Embedding models - OpenAI, Cohere ...