1 to 25 of 54 Remote Permanent FastAPI Jobs

senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. Strong understanding More ❯

Continuous Delivery: Argo CD Primary Scripting/Automation Language: Python Observability & Monitoring: Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights More ❯

of relevant experience may be substituted for each year of required education. Relevant certifications may be substituted for education or years of experience Programming skills in Python (Django, DRF, FastAPI) or React/TypeScript with Material UI, Git, SQL, Playwright/Cypress Test Libraries, Testing, Debugging. Experience with Data Visualization, RESTful APIs, RESTful Web Services, Orchestration and Containerization (e.g. Kubernetes More ❯

science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity More ❯

AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and More ❯

should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and private healthcare. If you're More ❯

should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and private healthcare. If you're More ❯

stack, solve real customer problems, and play a key part in their growth journey. What You'll Do Backend Development: Build and maintain scalable APIs and services using Python (FastAPI), integrating with AI models and data platforms. Frontend Development: Develop responsive, high-performance user interfaces with React/Next.js. AI Integration: Connect to LLMs and ML services (e.g., OpenAI, AWS 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 ❯

Highly desirable skills include: Domain Experience: Familiarity with the unique structure of sports data (e.g., event, tracking, scouting, video). API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker 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 ❯

IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML More ❯

IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML More ❯

IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML More ❯

to production You have experience with LLM evaluation and the development lifecycle of LLM features You are really comfortable working with Python and building APIs using frameworks such as FastAPI or Django Please mention the word 'crane' in your application. Nice-to-haves: Familiarity with Python, Go, Typescript You have experience working with Google Cloud, and/or Kubernetes/ 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 ❯

related field (or equivalent experience). 5+ years in full-stack development, building high-performance web applications, with significant experience in modern frontend frameworks (React). Proficiency in Python3, FastAPI, SQL, REST APIs, or similar. Experience working in a platform team, providing tooling and processes for other teams. Strong understanding of architecture, design patterns, and building scalable, testable code (unit More ❯

Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative development, service/serverless architectures. Development Practices: Agile (Scrum/Kanban More ❯

Overview Python Technical Architect - 6 Month contract initially. Hybrid working in Bradford (Max 3 days p/w onsite). Rate: Market rates (via Umbrella company). We have a great opportunity with a world leading organisation where you will More ❯

Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy More ❯

Python Software Engineer/Developer (Azure Databricks FastAPI) London to £90k Are you a data centric Python Software Engineer? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity insurance markets. As a Python Software Engineer More ❯

maintainable systems in healthcare contexts. What we're looking for 6+ years of professional software engineering experience. Proficiency in Python , with experience building APIs and backend services (preferably with FastAPI ). Experience working with datastores such as MongoDB and Redis . Experience with integration design , including RESTful APIs, authentication/authorization (OAuth2, OpenID Connect), and event-driven systems. Familiarity with More ❯

of production reliability and scalability. Deep expertise in one or both of the following areas: Software Engineering & Systems Design: Expertise in Python and experience building scalable services (e.g., using FastAPI, Django). You have a strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering More ❯

Experience Proven experience delivering multi-tenancy SaaS platforms in a commercial environment. Demonstrated use of AI-assisted development tools to improve speed and quality. Knowledge of Python (Flask/FastAPI/Django) and/or JavaScript (Node.js, Vue.js, React). Solid database experience ( PostgreSQL/MySQL/MongoDB ) with strong relational design and optimisation skills. Hands-on experience with GCP … . Knowledge of GDPR , data security , and SaaS compliance. Experience integrating OpenAI , Vertex AI , or other LLMs into live products. Tech Stack Youll Work With Backend: Python (Flask/FastAPI), Node.js Frontend: React or Vue.js Database: PostgreSQL/MySQL (Google Cloud SQL), MongoDB Cloud: Google Cloud Run, Cloud Storage, AWS EC2/S3/Lambda Tools: Docker, GitHub, Jira, AI More ❯

Experience Proven experience delivering multi-tenancy SaaS platforms in a commercial environment. Demonstrated use of AI-assisted development tools to improve speed and quality. Knowledge of Python (Flask/FastAPI/Django) and/or JavaScript (Node.js, Vue.js, React). Solid database experience ( PostgreSQL/MySQL/MongoDB ) with strong relational design and optimisation skills. Hands-on experience with GCP … . Knowledge of GDPR , data security , and SaaS compliance. Experience integrating OpenAI , Vertex AI , or other LLMs into live products. Tech Stack Youll Work With Backend: Python (Flask/FastAPI), Node.js Frontend: React or Vue.js Database: PostgreSQL/MySQL (Google Cloud SQL), MongoDB Cloud: Google Cloud Run, Cloud Storage, AWS EC2/S3/Lambda Tools: Docker, GitHub, Jira, AI More ❯