1 to 25 of 30 Remote Flask Jobs in the City of London

Proven track record in leading small, high-performing engineering teams in fast-paced environments. Deep expertise in full-stack development, including: TypeScript/JavaScript (NextJS, NodeJS, Tailwind) Python (Django, Flask, or FastAPI) PostgreSQL Experience with building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with cloud platforms (AWS, Azure, or More ❯

enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the More ❯

enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the More ❯

scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A More ❯

and scale. The toolkit youll use Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A More ❯

within a microservices architecture Solving complex problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning 🧰 Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security More ❯

within a microservices architecture Solving complex problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform What Youll Bring: Experience in working on Defence and Government projects Ideally security cleared More ❯

to hear from you. 📩 Apply now to learn more about the company and this opportunity! (Python Engineer, Python Developer, Backend Developer, Software Developer, Software Engineer, Django Developer, Django, FastAPI, Flask, AWS, SaaS, REST API, Cloud, CI/CD, Start-up, London, Hybrid More ❯

to hear from you. 📩 Apply now to learn more about the company and this opportunity! (Python Engineer, Python Developer, Backend Developer, Software Developer, Software Engineer, Django Developer, Django, FastAPI, Flask, AWS, SaaS, REST API, Cloud, CI/CD, Start-up, London, Hybrid More ❯

to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams What we offer More ❯

to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams What we offer More ❯

tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What You’ll Need 2-4 years experience with Python (FastAPI/Flask) Experience with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ More ❯

end solutions Drive continuous improvement and innovation across the engineering organisation Skills 5+ years of experience as a Software Engineer building modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices — testing More ❯

end solutions Drive continuous improvement and innovation across the engineering organisation Skills 5+ years of experience as a Software Engineer building modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices testing More ❯

into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based More ❯

ideas into production. Ensuring code quality through testing, documentation, and peer review. What were looking for: 4+ years experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based More ❯

working across the stack - React on the front end, Python on the back end. You'll: Build responsive UIs in React Develop APIs & services in Python (either Django/Flask/FastAPI) Own features end-to-end Help shape our tech stack You have: Strong React & Python skills API & database experience A proactive, problem-solving mindset Ideally start-up or More ❯

Computer Science, Engineering, Physics, Mathematics, or a related technical field 2+ years of experience building web applications in a production environment Strong experience with Python and API frameworks (FastAPI, Flask, etc.) Proficiency with React and TypeScript Comfort or interest in functional programming principles and clean code architecture A genuine interest in engineering and the physical world Ability to thrive in More ❯

Computer Science, Engineering, Physics, Mathematics, or a related technical field 2+ years of experience building web applications in a production environment Strong experience with Python and API frameworks (FastAPI, Flask, etc.) Proficiency with React and TypeScript Comfort or interest in functional programming principles and clean code architecture A genuine interest in engineering and the physical world Ability to thrive in More ❯

and other Full Stack Engineers on high-impact projects Technical Requirements 2–3 years of back-end engineering experience, ideally in a startup environment Strong knowledge of Python and Flask Proficiency with SQL and Postgres Experience with AWS services (migration experience is a plus) Ideal Candidate Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences More ❯

and other Full Stack Engineers on high-impact projects Technical Requirements 2–3 years of back-end engineering experience, ideally in a startup environment Strong knowledge of Python and Flask Proficiency with SQL and Postgres Experience with AWS services (migration experience is a plus) Ideal Candidate Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences More ❯

a real impact in a rapidly growing team, while working on cutting-edge AI technology. What You'll Work On: Design and implement scalable backend systems using Python (FastAPI, Flask, or Django) Integrate AI-generated code into production-ready services Take ownership of projects from idea to production — collaborating across product and AI teams Experiment with LLM- and agentic-coding More ❯

Senior Full Stack Engineer – AI Startup – Up to 150k 🚀🧠 💰 Salary: £80,000 - £150,000 + meaningful equity 🏙️ Location : London, hybrid 💻 Tech Stack : Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) 📈 Team size: 27 heads Our y-combinator backend client are building an elite engineering team within the AI space. The platform is being used across the globe and is delivering More ❯

a real impact in a rapidly growing team, while working on cutting-edge AI technology. What You'll Work On: Design and implement scalable backend systems using Python (FastAPI, Flask, or Django) Integrate AI-generated code into production-ready services Take ownership of projects from idea to production collaborating across product and AI teams Experiment with LLM- and agentic-coding More ❯

RAG pipelines, and integrate AI components into distributed systems that enable real-world, production-scale AI deployment . 🔧 What You’ll Do Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and More ❯