14 of 14 SQLAlchemy Jobs in the UK excluding London

to cloud deployments (AWS preferred). Familiarity with MQTT, ZMQ, WebRTC, MIDI, or similar communication protocols. Experience building backend components, APIs, or control-plane systems. Desirable: FFMPEG, PyQt, NumPy, SQLAlchemy experience. Understanding of secure communications (SSL/TLS, JWT). Passion for scalable, highly available architecture (real-time or mission-critical systems). Why Apply? Join a highly technical engineering More ❯

z2bz0 years of experience writing Backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI or similar Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (Ideally AWS) Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding of More ❯

application quality, performance, and security. - Infrastructure-as-Code - Security awareness (RBAC, networking, encryption at rest etc.) - Positive attitude towards LLM assisted development - Preferred Toolset: - Python (Pandas, Apache Airflow, PySpark, SQLAlchemy, Dask, Great Expectations, ScikitLearn) - Linux - Containers (e.g. Docker) - Data bases (e.g. PostgreSQL) - AWS (CDK/Python, Bedrock, Sagemaker) - Demonstrated interpersonal skills and ability to work closely with cross-functional teams More ❯

and intelligent agent capabilities. RAG & 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 (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & 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 (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & 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 (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & 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 (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & 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 (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & 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 (Azure, AWS, GCP), ensuring robust More ❯

a web application built with Python and Flask, running on Gunicorn. It is supported by several microservices, also written in Python, utilising frameworks and libraries such as Celery, Eventlet, SQLAlchemy, etc. Additionally, GOV.UK Notify utilises AWS RDS (Postgres), AWS SQS, AWS ElastiCache, OpenTelemetry, Prometheus, Grafana and other related services. Concourse CI and Terraform are used to run build-pipelines and More ❯

a web application built with Python and Flask, running on Gunicorn. It is supported by several microservices, also written in Python, utilising frameworks and libraries such as Celery, Eventlet, SQLAlchemy, etc. Additionally, GOV.UK Notify utilises AWS RDS (Postgres), AWS SQS, AWS ElastiCache, OpenTelemetry, Prometheus, Grafana and other related services. Concourse CI and Terraform are used to run build-pipelines and More ❯

developing applications as a full stack engineer. Expert knowledge of front end development including Javascript, React, Redux and supporting technologies. Knowledge of backend development in Python with Flask, FastAPI, SQLAlchemy, Postgres or another modern stack. Extensive understanding of software design patterns and principles. Experience with Agile/Scrum methodologies. Excellent communication and teamwork skills. The ability to work independently and More ❯

designs into working prototypes. Excellent collaboration and communication skills, with a focus on rapid iteration and demonstrable results. Nice to have: Experience with Object-Relational Mapping (ORM) tools (e.g., SQLAlchemy, Django ORM). Exposure to modern C++ (C++17 or later) for application development or system integration. Familiarity with satellite communications, RF systems, or signal processing concepts. More ❯

Principal Accountabilities Develop backend systems using Python, FastAPI, and related frameworks Manage data with SQL Alchemy, working across PostgreSQL, CosmosDB, and Redis Build scalable cloud solutions using Azure PaaS services (App Services, Function Apps, API Management, etc.) Design and implement More ❯