At a Glance
- Tasks: Design and build cutting-edge AI-driven systems with a focus on full stack development.
- Company: Fast-growing AI scale-up in London with a dynamic work culture.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Exciting projects in a fast-paced environment with excellent career advancement potential.
- Why this job: Join a team at the forefront of AI technology and make a real impact.
- Qualifications: Strong experience in React, TypeScript, and Python; familiarity with ML systems is a plus.
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
#J-18808-Ljbffr
Full Stack Software Engineer (AI / ML Platform) - Outside IR35 employer: SR2 REC LTD
At SR2 Consulting, we pride ourselves on being an exceptional employer that values expertise and innovation in the fast-evolving payments landscape. Our collaborative work culture fosters professional growth through engaging projects with leading financial institutions, offering employees the chance to make a significant impact while advancing their careers. With a focus on meaningful engagements and a commitment to employee development, we provide a unique opportunity for Payments Consultants to thrive in a dynamic environment.
