1 to 25 of 45 SQLAlchemy Jobs in the UK excluding London

object-oriented design principles Experience building and consuming HTTP/REST APIs Familiarity with Python frameworks and tooling such as Flask or Django, Pytest, SQLAlchemy, Marshmallow Strong background in secure systems design (software and network level) Proven experience using Wireshark for SIP/RTP analysis and fault-finding Version control ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms ...

experience Strong experience with Python and web frameworks such as Flask, Django, or similar Experience working with relational databases (MySQL preferred) and ORMs (e.g. SQLAlchemy, Alembic) Solid understanding of frontend fundamentals: HTML, CSS, JavaScript Strong grasp of software engineering principles: Git/version control Object-oriented programming Testing (unit & integration ...

Experience building scalable, maintainable backend systems High engineering standards across quality, reliability and performance Confident communicating trade-offs and taking ownership Nice to have: SQLAlchemy, Docker, cloud (AWS/GCP/Azure), observability tooling. Package: £90,000 to £105,000 Remote-first (UK-based) Lead Python Engineer | Python, FastAPI, Start ...

Experience building scalable, maintainable backend systems High engineering standards across quality, reliability and performance Confident communicating trade-offs and taking ownership Nice to have: SQLAlchemy, Docker, cloud (AWS/GCP/Azure), observability tooling. Package: £90,000 to £105,000 Remote-first (UK-based) Lead Python Engineer | Python, FastAPI, Start ...