Software Engineer | Python | C++ | Urban Digital Twins

Software Engineer | Python | C++ | Urban Digital Twins | Outside IR35
Model Optimisation | Simulation Engineering | Kafka | Production ML | Infrastructure Innovation

SR2 is working with a global consultancy on a ground-breaking urban digital twins project for a major city modernising its infrastructure. With significant investment backing, this programme is looking at how to optimise everything from foot traffic and vehicle flow to energy consumption and city-wide systems performance.

We're looking for a Software Engineer with strong Python skills and experience working alongside data scientists to optimise and productionise ML models. The core simulation engine is built in C++, so any experience with C++ in high-performance environments is a major plus.

Key Responsibilities:

• Work with data science teams to optimise predictive models and deploy them at scale
• Build robust, scalable services in Python, with performance-critical elements in C++
• Contribute to the development of a digital twin platform to simulate and forecast city infrastructure outcomes
• Collaborate across simulation, data, and software teams to turn prototypes into production-ready solutions
• (Bonus) Integrate streaming data pipelines using Kafka to support Real Time modelling

Experience:

• Strong commercial experience in Python engineering
• Exposure to C++, especially in simulation, modelling, or high-performance systems
• Proven track record working closely with data scientists to bring models into production
• Background in simulation-heavy domains (eg finance, oil & gas, energy, transport)
• Experience with Kafka or distributed messaging systems is highly desirable
• Systems thinker - interested in how predictive models drive real-world infrastructure impact

The Details:

• Inside IR35
• £600-650p/d
• 2 days per week in central London
• Start: ASAP

If you're a software engineer who thrives on turning models into high-impact systems - and you're excited by simulation, Real Time data, and engineering for real-world infrastructure - apply now for immediate consideration.