5 of 5 Django Jobs in Central London

performance, security, and scalability 👀What They’re Looking For Strong backend engineering experience in high-scale production environments Excellent Python skills (FastAPI, Flask, or Django) Deep understanding of PostgreSQL and database optimisation Experience designing distributed or event-driven systems Hands-on experience with Redis, queues, caching, and async workflows Cloud ...

Python | React Location: London-based (hybrid) Salary: £100,000 - £150,000 + equity Tech Stack: Backend: Python (Flask or FastAPI or Django) Frontend: React, TypeScript Cloud Systems: GCP or AWS Are you a software engineer who enjoys shipping real products, solving tangible customer problems, and seeing your work in production ...

continuous improvement and innovation across the engineering organisation Skills Outstanding academics (1st Class Degree from Top University) Strong coding skills (FastAPI preferred; Flask or Django also considered) Experience with Claude Code or other agentic coding tools Competitive programming (e.g. ICPC/IOI is a distinct advantage) A genuine interest ...

Python Full Stack Developer Requirements Develop highly scalable applications in Core Python. Hands-on with Python web frameworks such as Django, Flask, or FastAPI. Experience working on SQL with ability to run various data analytics tasks and queries. Exposure to Java script technologies (preferably React) Exposure to Azure Databricks environment … highly desirable Qualifications 8+ years of prior experience as a developer in the required technologies CORE TECHNOLOGIES Scripting : Python, SQL, Bash, PySpark Web frameworks: Django, Flask, or FastAPI. Frontend Technologies: ReactJS, Java Script Azure : Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Data Lake Storage Gen2, Azure Event Grid, Azure ...

development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python. • Build backend services and APIs using Flask or Django for AI-powered systems. • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets. • Develop and integrate GenAI capabilities such … enabled automation • Python development: Strong coding and data processing experience • SQL and database experience: Querying, data modeling, and data integration • Backend frameworks: Django or Flask • API development: RESTful services and microservice architecture • AI system architecture/solution design: Designing scalable AI applications • Cloud platforms: Azure AI services preferred • Data platforms ...