Full Stack Software Engineer (AI / ML Platform)

On Site : 1
Contract Rate : 600
Contract Job : 1
Salary range high : 650
Salary range low : 600

Full Stack Software Engineer (AI / ML Platform)

  • London
  • Contract
  • Tech For Impact
  • GBP600 - 650 per day

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

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