Full Stack Software Engineer (AI/ML Platform) - Outside IR35

We’re 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.

This is a hands-on contract role at the intersection of modern Front End engineering, Back End systems, and applied machine learning.

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
• Collaborating closely with ML engineers, data scientists, and product teams
• 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 Front End engineering

• 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
• Observability, monitoring, and logging built-in from day one

What they’re looking for

• Strong experience as a Full Stack Software Engineer
• Deep knowledge of React + TypeScript in production environments
• Strong Python Back End engineering experience
• Proven ability to work in high-growth, fast-paced teams
• Comfortable working close to ML systems, data pipelines, or AI products
• Engineering mindset - pragmatic, scalable, and delivery-focused

Nice to have (but not required)

• Experience building ML-powered products end-to-end
• Exposure to LLMs, embeddings, vector databases, or model serving frameworks
• Background in data engineering or platform engineering
• Experience in AI, fintech, healthtech, or deep-tech environments