1 to 25 of 42 FastAPI Jobs in the City of London

applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development More ❯

applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development More ❯

asset managers. What you’ll be doing Building and maintaining frontend web applications using React and Next.js Developing, testing, and deploying backend services and APIs (Python preferred, e.g. Django, FastAPI) Working closely with founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup More ❯

asset managers. What you’ll be doing Building and maintaining frontend web applications using React and Next.js Developing, testing, and deploying backend services and APIs (Python preferred, e.g. Django, FastAPI) Working closely with founders, design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup More ❯

at leading institutions. What you’ll be doing Designing and maintaining modern frontend web apps using React/Next.js Developing robust backend services and APIs, preferably in Python (Django, FastAPI, etc.) Owning large parts of the AI agent infrastructure: building and deploying multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning and evaluation frameworks Ensuring that AI-powered More ❯

at leading institutions. What you’ll be doing Designing and maintaining modern frontend web apps using React/Next.js Developing robust backend services and APIs, preferably in Python (Django, FastAPI, etc.) Owning large parts of the AI agent infrastructure: building and deploying multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning and evaluation frameworks Ensuring that AI-powered More ❯

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 scale-up More ❯

role offers a clear path to grow into a senior developer or product owner as the company scales. What you’ll do: Build and expand backend applications using Python (FastAPI) Design and implement microservices and REST APIs Write clear documentation, unit tests, and end-to-end tests Work with AWS, Docker, SQLAlchemy, and SQL databases Deploy features via CI/ More ❯

role offers a clear path to grow into a senior developer or product owner as the company scales. What you’ll do: Build and expand backend applications using Python (FastAPI) Design and implement microservices and REST APIs Write clear documentation, unit tests, and end-to-end tests Work with AWS, Docker, SQLAlchemy, and SQL databases Deploy features via CI/ More ❯

paced startup environment. Requirements: 1st class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

paced startup environment. Requirements: 1st class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

tech firm. You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, FastAPI, Postgres, ElasticSearch, RabbitMQ, LLMs, Typescript, React You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced More ❯

tech firm. You have taken entire products or features from ideation to production and you've measured their impact. You have experience with the following technologies (or similar): Python, FastAPI, Postgres, ElasticSearch, RabbitMQ, LLMs, Typescript, React You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. You thrive in a fast paced More ❯

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 scale-up More ❯

CI/CD for data systems Highly Desirable Skills Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and More ❯

CI/CD for data systems Highly Desirable Skills Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and More ❯

that frequently gets deployed to users Strong understanding of product development and navigating large codebases Located in London/Paris and open to working in office Tech Stack: Python FastAPI Typescript + React Open source LLMs On premise deployments Benefits Currently Offered (likely to improve as company grows): 100% coverage for travel expenses Childcare support Min. 3 months fully paid More ❯

that frequently gets deployed to users Strong understanding of product development and navigating large codebases Located in London/Paris and open to working in office Tech Stack: Python FastAPI Typescript + React Open source LLMs On premise deployments Benefits Currently Offered (likely to improve as company grows): 100% coverage for travel expenses Childcare support Min. 3 months fully paid More ❯

to pick it up quickly is expected Requirements: Python developer with 5+ years commercial experience Experience building modern web applications, preference is REST APIs GCP, Docker, Kubernetes experience Flask & FastAPI extremely desirable Experience working with JavaScript, Typescript - Angular being desirable. 2 stage interview process - quick turn around, interviews are being scheduled. *Applicants must be based in the UK More ❯

AI Startup – Up to 130k 🚀🧠 💰 Salary: £80,000 - £130,000 + meaningful equity 🏙️ Location : London, flexible working arrangements, ideally 1/2 days in office 💻 Tech Stack : Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning) 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 More ❯

with SageMaker, KServe, Triton, or similar infra. Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, WandB, LangFuse, or other MLOps tools. • Experience with React, FastAPI, or other common web frameworks. Why Plexe? • Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights. • High ownership: first 5 engineers write the More ❯

with SageMaker, KServe, Triton, or similar infra. Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, WandB, LangFuse, or other MLOps tools. • Experience with React, FastAPI, or other common web frameworks. Why Plexe? • Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights. • High ownership: first 5 engineers write the More ❯

BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets: market data, order management, algo trading, systems integration, compliance, etc. Benefits & Perks We’re committed to total wellbeing and offer: Competitive More ❯

BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets: market data, order management, algo trading, systems integration, compliance, etc. Benefits & Perks We’re committed to total wellbeing and offer: Competitive More ❯

You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval More ❯