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Full Stack Developer - Python, AI/ML and Database

Open Code Mission — United Kingdom · Posted ~5 hours ago

Mid Full-time

Skills

Python Django Flask FastAPI AI/ML TensorFlow PyTorch Scikit-learn database design database optimization frontend development REST APIs GraphQL Docker Kubernetes CI/CD secure coding GCP PostgreSQL MySQL MongoDB BigQuery Next.js React Angular Vue.js REST GKE GitLab CI/CD Jenkins GitHub Actions

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Summary ✨ AI‑Generated

Join a development team building scalable, user-friendly web applications with Python, AI/ML, modern frontend frameworks, robust databases, APIs, and containerized infrastructure. You will design backend services, contribute to responsive interfaces, integrate machine-learning capabilities, and support secure, automated software delivery.

Highlights

Build scalable full-stack applications combining Python, AI/ML, modern frontend technologies, databases, APIs, containers, and CI/CD. The role offers broad technical ownership across application architecture and delivery.

Description

About This Role Design, build, and maintain scalable applications with a focus on Python development, AI/ML integration, and robust database systems. Experience Level: 3–5 years minimum. What We're Looking For 3–5 years of professional full stack development experienceProficiency in Python and related frameworks (Django, Flask, FastAPI)Hands-on experience with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn)Strong understanding of database design and optimization (PostgreSQL, MySQL, MongoDB, BigQuery)Experience with frontend frameworks (Next.js, React, Angular, or Vue.js)Familiarity with RESTful and GraphQL APIsKnowledge of containerization (Docker) and orchestration (Kubernetes, GKE, OVH Managed Kubernetes)Experience with CI/CD tools (GitLab CI/CD, Jenkins, GitHub Actions)Understanding of secure coding practices and integration with security controls What You'll Do Design and develop web applications with responsive, user-friendly interfacesBuild backend services and APIs using Python (Django, Flask, FastAPI)Develop and integrate AI/ML models into production environmentsDesign and optimize database schemas (SQL and NoSQL) to ensure scalability and performanceImplement authentication, authorization, and security features in collaboration with SecOpsWork with CloudOps to deploy applications into OVH/GCP environments using CI/CD pipelinesWrite unit, integration, and end-to-end tests for reliable code deliveryOptimize system performance, scalability, and fault toleranceCollaborate with product, design, and operations teams to deliver features on timeStay updated with emerging frameworks, AI/ML tools, and database technologies