On Site : 1
Contract Rate : 600
Contract Job : 1
Salary range high : 650
Salary range low : 600
Full Stack Software Engineer (AI / ML Platform)
Full Stack Software Engineer (AI / ML Platform)
Full Stack Software Engineer (AI / ML Platform)
Location: London (Hybrid / On-site as needed)
Rate: Up to £650 per day
Contract: Outside IR35
Positions: 2 roles available
SR2 are working with a fast-growing AI scale-up in London that’s building next-generation machine learning platforms used at serious scale. They’re looking for two experienced Full Stack Software Engineers to help design, build, and scale production-grade AI-driven systems.
What you’ll be working on
- Building high-performance, user-facing applications using React and TypeScript
- Designing and developing scalable Python backends powering ML-driven products
- Integrating machine learning models into real-world production systems
- Working on data pipelines, inference services, and model-serving APIs
- Improving system performance, reliability, and scalability in a fast-moving environment
- Shipping features quickly while maintaining clean, testable, production-quality code
Core tech stack
Frontend
- React (modern hooks-based architecture)
- TypeScript
- Component-driven UI design
- Performance-focused frontend engineering
Backend
- Python (FastAPI / Flask / Django-style architectures)
- REST & event-driven APIs
- Asynchronous and concurrent systems
AI / ML & Data
- Model inference pipelines
- ML model integration (not just notebooks)
- Data-heavy, real-time or near-real-time systems
- Exposure to tools such as PyTorch, TensorFlow, or similar (hands-on or integration-level)
Cloud & Engineering
- Cloud-native architecture (AWS / GCP / Azure)
- Containerisation (Docker, Kubernetes)
- CI/CD and infrastructure-as-code
What they’re looking for
- Strong experience as a Full Stack Software Engineer
- Deep knowledge of React + TypeScript in production environments
- Strong Python backend engineering experience
- Proven ability to work in high-growth, fast-paced teams
- Comfortable working close to ML systems, data pipelines, or AI products







