1 to 25 of 32 Permanent FastAPI Jobs in the UK excluding London

contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector More ❯

in HTML5, CSS3, ES6/TypeScript, and responsive design principles Solid experience with React (or similar modern frontend frameworks) and component-driven UI architecture Backend development expertise in Python (FastAPI, Flask), .NET Core, or Comfortable designing and consuming RESTful APIs Familiarity with both relational (PostgreSQL, SQL Server) and NoSQL databases Experience with Git and version control workflows Strong foundation in More ❯

Founding Engineer | Cambridge | £60,000-£75,000 + Equity | Tech4Good | Python | React | Azure | Hybrid Location: Cambridge, UK (Hybrid) Salary: £60,000-£75,000 + Equity Tech Stack: Backend: Python (FastAPI OR Django OR Flask) Frontend: JavaScript Cloud Systems: AWS Are you a Senior Engineer with a knack for building and implementing high quality software solutions for exciting, innovative projects? Do More ❯

Work closely with Product to scope work, plan release,s and make pragmatic build-versus-buy decisions. What they're looking for: Hard skills Python proficiency with any framework. FastAPI or Django are welcome. TypeScript expertise and strong React experience. Solid SQL experience. PostgreSQL is preferred but any advanced SQL background is welcome. Strong automated testing habits for unit, integration More ❯

business rules, managing records, and integrating Appian with external systems via REST APIs, web services, and connected systems. API Development & Integration- Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating More ❯

serverless applications, containerisation (e.g. Docker) and CI/CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript, , Vercel Backend: Go, Postgres More ❯

best practices. Excellent problem-solving skills and ability to translate business challenges into AI solutions. Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker) Strong communication and collaboration skills. Preferred Qualifications: Experience with real-time AI applications, recommendation systems, or personalization engines. Knowledge of AI More ❯

ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). More ❯

experience leading technical aspects of full stack development projects Strong proficiency in TypeScript/JavaScript and modern frontend frameworks (React, , Svelte, or similar) Backend expertise with Python (Django or FastAPI) and RESTful API design Database proficiency with PostgreSQL including schema design and query optimization Experience with containerisation (Docker) Knowledge of CI/CD pipelines and testing methodologies (unit, integration, automated More ❯

skills, including the ability to drive development projects, and mentor junior developers. Leading the design + development of complex applications using Core Python, and web frameworks (-eg- Django, Flask, FastAPI). SQL Server database experience, including developing/optimizing SQL Server databases, data analysis, and efficient data storage/retrieval. Familiarity with AWS Cloud Services, and Infrastructure as Code (IaC More ❯

engage in troubleshooting and incident response to address production issues, continually learning from these experiences to improve future resilience. Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular, React and SQL databases. Optimize application performance, troubleshoot and resolve complex technical issues. Stay current with industry trends and emerging technologies, advocating for their application when they benefit More ❯

Legal, and Information Security to onboard/develop & scale AI applications. About you The role requires a blend of technical depth and product sense, including ·Strong Python engineering skills FastAPI, testing, typing and experience with cloud-native development GCP preferred. ·Hands-on experience with GCP Vertex AI model endpoints, pipelines, embeddings, vector search or equivalent cloud-native AI/ML More ❯

needs Take technical ownership of areas of product Required: 8-9+ 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 More ❯

with media processing technologies (FFMPEG, audio mixing, streaming pipelines). Engineer VoIP, DECT, and SIP-based communication software, including real-time call handling. Build and maintain REST APIs (Flask, FastAPI, Django) and integration layers. Contribute to highly available microservices deployed via Docker Compose and/or AWS . Work with MQTT, ZMQ, WebSockets, and other protocol-driven communication modules. Perform More ❯

stack: we try to balance speed and impact with fitting the best framework/technology to the task at hand. Currently, we work primarily in Python/Flask/FastAPI on the backend, Terraform/GCP/AWS for infra, and React/JavaScript/TypeScript/Vercel on the frontend. Ideally, you'll be able to contribute within our More ❯

Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. 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, 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 ❯

If you enjoy solving real problems with clean, focused engineering — this could be your next move. What You'll Be Doing Building, migrating and maintaining backend services in Python (FastAPI) Contributing to software and product design — including data flow, structure, and UI behaviour Working on a varied mix of features — including web apps, APIs, PDF generation, large-scale web scraping More ❯

like Cursor agent mode) into our daily engineering, creating guardrails, and helping others ship high-quality code faster. What you'll do Own backend features and API integrations (Python, FastAPI, gRPC, SQL). Adapt and extend auto-generated pipelines and front-end outputs. Build connectors for APIs, files, and external systems. Integrate LLM-based capabilities with robust evaluation and monitoring. More ❯

a further Devops Engineer with strong Python & AWS skills. You will have skilled to include the Design and development of backend services, APIs, and automation tools using Python (Flask, FastAPI, Django, etc.).You Write clean, maintainable, and testable code following best practices. Build and maintain CI/CD pipelines using tools like GitLab. 2+ years of professional experience in Python More ❯

using PySpark and ideally also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI, Django, Airflow, Kafka, ETL, CI/CD, experience with some or all would be beneficial but you'll pick it up on the job What's in it for you More ❯

operations. Key Responsibilities Deliver high-quality software solutions across the full development lifecycle. Build and deploy cloud-native applications using technologies such as AWS Lambda, Spring Boot, NodeJS, Python FastAPI, Oracle, PostgreSQL, and MongoDB . Work within Agile and DevSecOps environments, utilising tooling such as Atlassian, Jenkins, GitLab, OWASP and AWS services. Apply Site Reliability Engineering principles to enhance reliability More ❯

operations. Key Responsibilities Deliver high-quality software solutions across the full development lifecycle. Build and deploy cloud-native applications using technologies such as AWS Lambda, Spring Boot, NodeJS, Python FastAPI, Oracle, PostgreSQL, and MongoDB . Work within Agile and DevSecOps environments, utilising tooling such as Atlassian, Jenkins, GitLab, OWASP and AWS services. Apply Site Reliability Engineering principles to enhance reliability More ❯

operations. Key Responsibilities Deliver high-quality software solutions across the full development lifecycle. Build and deploy cloud-native applications using technologies such as AWS Lambda, Spring Boot, NodeJS, Python FastAPI, Oracle, PostgreSQL, and MongoDB . Work within Agile and DevSecOps environments, utilising tooling such as Atlassian, Jenkins, GitLab, OWASP and AWS services. Apply Site Reliability Engineering principles to enhance reliability More ❯

ORM experience ideal). Our technologies Frontend (Netlify): React, TypeScript, GraphQL, Storybook Backend (AWS & Heroku): NodeJS, TypeScript, GraphQL, MQTT, PostgreSQL, Python, Pulumi IaC Physical Device (on-premise): NodeJS, Typescript, FastAPI, Python, MQTT Firmware: C++, GTest, GMock, Bazel, Platformio Nice-to-Haves: Understanding of distributed systems concepts. Experience with Python for data processing or image analysis. Background or interest in biology More ❯