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

SR2 REC LTD; Greater London; On-site; GBP 104,000 - 136,000; Full time

Job summary

SR2 REC LTD is seeking two Full Stack Software Engineers in London to design, build, and scale production-grade AI-driven systems. You will work across frontend (React/TypeScript) and backend (Python - FastAPI/Flask/Django-like) to ship features rapidly while maintaining robustness.

The role combines modern frontend engineering with ML-enabled backend services, data pipelines, and model-serving APIs, operating in a hybrid London setup.

Qualifications

• Strong experience as a Full Stack Software Engineer in production environments.
• Deep knowledge of React + TypeScript.
• Strong Python backend engineering experience.
• Comfortable working close to ML systems and data pipelines.

Responsibilities

• Build high-performance, user-facing applications using React and TypeScript.
• Design and develop scalable Python backends powering ML-driven products.
• Integrate ML models into production systems and data pipelines.
• Work on data pipelines, model serving APIs, and real-time systems.
• Collaborate with ML engineers, data scientists, and product teams.
• Improve system performance, reliability, and scalability in a fast-moving environment.
• Ship features quickly with clean, testable production-quality code.

Skills

React

TypeScript

Python

API design

Tools

Docker

Kubernetes

FastAPI

Job description

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

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 frontend engineering, backend 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 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
• 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 backend 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