51 to 75 of 290 FastAPI Jobs in London

refining dashboards and internal tools, this is a hands-on, high-impact engineering role. What youll do: Develop and optimise full-stack features across React + Python (Django/FastAPI) Integrate AI/ML components into our SaaS products Drive UI/UX design to build intuitive dashboards for global clients Manage and improve AWS infrastructure (CDK, ECS, EKS) Lead More ❯

field 6+ years of experience as a backend or AI/ML software engineer Proficiency in Python with deep experience in building distributed and containerized services (e.g., Flask/FastAPI, Docker, Kubernetes) Strong understanding of ML deployment workflows, feature engineering, and serving architectures Experience building and deploying APIs and ML inference services in production Familiarity with ML model management, versioning More ❯

in production using containers (e.g. Docker, Kubernetes). Experience in designing and deploying microservices (including event-driven architectures), building REST APIs and web apps using Python frameworks (e.g. Flask, FastAPI), and familiarity with platforms like AWS, Azure, Node.js or React are all highly relevant. We’re also interested in experience with relational databases and ORMs, particularly where complex data modelling More ❯

years of backend development experience, with a strong portfolio of building scalable, production-grade web services. Expert-level proficiency in Python and significant experience with modern web frameworks like FastAPI or Django. Hands-on experience with NoSQL databases, specifically MongoDB , and in-memory data stores like Redis . Deep understanding of containerization with Docker and orchestration with Kubernetes . Proven More ❯

years of backend development experience, with a strong portfolio of building scalable, production-grade web services. Expert-level proficiency in Python and significant experience with modern web frameworks like FastAPI or Django. Hands-on experience with NoSQL databases, specifically MongoDB , and in-memory data stores like Redis . Deep understanding of containerization with Docker and orchestration with Kubernetes . Proven More ❯

iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices using Docker, Kubernetes, and FastAPI, ensuring smooth model serving and error handling; Vector Search & Retrieval: Implement retrieval-augmented workflows: ingest documents, index embeddings (Pinecone, FAISS, Weaviate), and build similarity search features. Rapid Prototyping: Create interactive More ❯

marketing ecosystem, including media measurement solutions like media mix modelling. Experience with RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, and advanced techniques. Familiarity with versioning models (MLFlow), API design (FastAPI), and building custom dashboards (Dash). Why You’ll Love It Here: Variety and Challenge: No two projects are the same. You’ll work across multiple industries, constantly learning and More ❯

standards through comprehensive testing (Jest, PyTest, JUnit, etc.). Attributes: Need to Haves: C++ - Strong understanding of multithreading, asynchronous programming, network protocols. Advanced knowledge of Python and related frameworks (FastAPI, NumPy, Pandas, Pydantic) including multithreading and parallel design principles. Understanding of AWS, including knowledge of Cognito, Pinpoint, IoT, MSK and other services. Deep understanding of user-centered design principles, design More ❯

team. Stay informed about new advances in AI Engineering. Have you got what it takes? Required Python development experience (3+ years) Experience writing Python backend APIs (e.g. Flask or FastAPI) Experience writing Python packages Source control experience (git) Writing clear, documented, easy to maintain code Experience with CI/CD and Python test suites (e.g. pytest) Experience using generative models More ❯

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship More ❯

serving machine learning models in production. This is a hands-on role working across backend, frontend, and cloud systems. What You’ll Do: Build and maintain high-performance APIs (FastAPI/Python) Deploy ML models at scale using Kubernetes and Terraform Collaborate with ML teams to optimise training and inference pipelines Develop a modern web portal for analytics and monitoring … What We’re Looking For: 5+ years in software engineering, with 3+ in distributed systems on AWS Strong Python and FastAPI skills Experience with React/Vue and CI/CD pipelines Familiarity with ML model deployment in production Why Join: Competitive salary + equity Work on cutting-edge AI optimisation High ownership, low bureaucracy Growth opportunities in a small More ❯

serving machine learning models in production. This is a hands-on role working across backend, frontend, and cloud systems. What You’ll Do: Build and maintain high-performance APIs (FastAPI/Python) Deploy ML models at scale using Kubernetes and Terraform Collaborate with ML teams to optimise training and inference pipelines Develop a modern web portal for analytics and monitoring … What We’re Looking For: 5+ years in software engineering, with 3+ in distributed systems on AWS Strong Python and FastAPI skills Experience with React/Vue and CI/CD pipelines Familiarity with ML model deployment in production Why Join: Competitive salary + equity Work on cutting-edge AI optimisation High ownership, low bureaucracy Growth opportunities in a small More ❯

with network-centric systems, and mentor the wider engineering team as we grow. Key responsibilities: • Architect, build & implement scalable features in our React frontend and Node.js/Python backend (FastAPI, Celery) • Design integrations with network devices, IPAM, monitoring platforms, Wi-Fi authentication systems, CRMs and partnered PropTech tools • Continually hone and perfect our homegrown DevOps and CI/CD processes … into robust technical solutions. The right candidate: • Has 5+ years hands-on as a full stack engineer in a SaaS environment • Strong backend skills in Node.js (Express) and Python (FastAPI, Celery) • Deep familiarity with Microsoft Azure (App Services, Functions, networking) • Proven experience working with network-focused systems (SNMP, IPAM, CLI automation) • Solid understanding of Auth0 (or similar OAuth/OIDC More ❯

business to reimagine their systems using modern tools and cloud-native architecture. You’ll be building from the ground up in a greenfield environment, using technologies like Python, TypeScript, FastAPI, AWS and some Azure while contributing to projects that have direct commercial impact. Why this role? → A rare opportunity to work at the forefront of AI in a global, high More ❯

to optimize processes and ensure effective utilization of tools Qualifications: Relevant university degree 3+ years of full-stack Python and React development experience Proficiency with Python frameworks such as FastAPI, Plotly Dash/Streamlit, SQLModel, Pydantic Experience with data scraping and data normalization techniques Experience working with relational SQL databases, e.g., PostgreSQL Passion for Python and React development, with active More ❯

communication with both a technical and non-technical audience Independent and self-driven learner, able to step outside of their area of expertise Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL Cloud (AWS) deployments and monitoring, basic networking and security best practices Command line familiarity More ❯

formulating hypotheses, and driving the entire process from concept to execution Very strong understanding of Python and its core libraries, with experience in at least one major Python framework (FastAPI, Django, or Flask) Very good understanding of data modeling and storage using SQL and/or NoSQL databases (Postgres, MongoDB) Strong knowledge of software design patterns (MVC, microservices, Hexagonal/ More ❯

driven drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists More ❯

technical solutions, and owning the end-to-end delivery of complex features, ideally having worked with peers of different levels to complete projects collaboratively. Our technology stack: Python (including FastAPI, OpenTelemetry, procrastinate, SQLAlchemy, Uvicorn), Postgres, MySQL, Athena, Liquibase, Retool, Docker, AWS Who you are: A professional history in software engineering with a deep knowledge of the technologies in our stack More ❯

experience using Docker, Kubernetes, and implementing CI/CD pipelines for data workflows Proficient in designing, developing, and maintaining RESTful APIs for data services using Python frameworks such as FastAPI, Flask, or Django. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great More ❯

applications and model deployment Comfortable across front-end (HTML, CSS, Tailwind) and back-end (Pinecone, microservices, serverless) Brownie points: SEO know-how Deeper AI/ML chops (Colab, Streamlit, FastAPI, PyTorch, etc.) Entrepreneurial streak and previous startup exposure Ability to pivot quickly and learn on the fly Python experience You're a curious problem-solver who communicates clearly, embraces change More ❯

libraries like NumPy, Pandas, and testing tools such as pytest or unittest. Experience building and deploying full-stack applications (React, Angular, or Vue.js on the front end; REST APIs, FastAPI, or similar on the back end). Solid understanding of relational and NoSQL databases. A good grasp of software testing principles and experience with automation tools. Familiarity with CI/ More ❯

related field preferred. Highly preferred: Experience with TDD, BDD or other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with Web Frameworks such as Django, Flask or FastAPI Preferred: Familiarity with event streaming platforms such as Apache Kafka Preferred: Familiarity with data pipeline platforms such as Apache Airflow Preferred: Familiarity with Java Preferred: Experience in one or more More ❯

AI solutions’ performance and reliability Translate complex data science and ML concepts for technical and non-technical audiences, fostering alignment across distributed teams Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May Be a Good Fit If 6+ years of professional experience as an AI/ML engineer, with a strong More ❯

Get AI-powered advice on this job and more exclusive features. Brainpool is a fast-growing AI start-up providing custom AI services for business since 2017. Our network of 500 top-level AI and Machine Learning experts, including PhD More ❯