7 of 7 Contract FastAPI Jobs in the South East

data engineers to build an end-to-end pipeline that leverages various data products.Basic Qualifications:5+ years of experience in frontend software development (React).Proven experience in Python development (FastAPI preferred).Bachelor's degree in a relevant field (computational, numerate, or life sciences) or equivalent experience.Essential cloud experience (Google Cloud and Cloud Run preferred) for core web application infrastructure.Strong skills More ❯

GKE or equivalent). Version control with Git and experience of CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.). Nice to have: Experience with async frameworks (FastAPI, Celery, or asyncio-based work). Exposure to event-driven architectures, message queues (Kafka, RabbitMQ) or pub/sub. Knowledge of observability tooling (Prometheus, Grafana, Sentry, ELK). Understanding of More ❯

through to deployment Should have experience in agile product delivery, working within a small interdisciplinary team to deliver as a group Assisting with the maintenance and iteration of a FastAPI-based web API hosted on AWS. Enhancing the existing product in line with the roadmap, focusing on data ingestion, UI updates (with a Fullstack Developer), and potential agentic features. Supporting More ❯

What you'll be doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/ More ❯

components with data, compute, and frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system … to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong More ❯

Backend Software Engineer to lead development of APIs and data infrastructure supporting these ML applications. What you'll be doing: Develop backend systems for ML-driven applications using Python (FastAPI) Build data and compute integration pipelines with cross-functional AI teams Design testing and deployment frameworks for model reliability Work collaboratively in agile sprints alongside data and DevOps teams Key … Skills: Python, FastAPI, Git/GitHub, CI/CD, cloud infrastructure (GCP), automated testing (pytest) Nice to Have: Experience with ML model deployment or scientific data systems Ideal for: Engineers who thrive building robust, production-ready backends for AI/ML platforms. More ❯

edge solutions that leverage synthetic audiences , retrieval-augmented generation (RAG) , and data-driven insights to support decision-making and communication across government. Key Responsibilities Maintain and enhance an existing FastAPI -based service hosted on AWS Elastic Beanstalk . Develop and deliver new product features aligned with an existing roadmap, including data ingestion , RAG pipelines , and agentic AI extensions . Lead … experience with Large Language Model APIs (from 2021 onwards). Hands-on experience developing Generative AI solutions and integrating them into production environments. Strong Python programming experience, ideally with FastAPI , asyncio , and SQLAlchemy . Experience building LLM-powered applications with tool use and information retrieval capabilities. Working knowledge of AWS infrastructure and deployment workflows. Proven ability to work effectively within More ❯