Software Engineer | Python | C++ | Modelling
Posted 1 day ago by SR2 | Socially Responsible Recruitment | Certified B Corporation™
£650 Per day
Outside
Undetermined
London, England, United Kingdom
Summary: The role of Software Engineer focuses on developing and optimizing urban digital twins for a major city, leveraging Python and C++ to enhance infrastructure performance. The position involves collaboration with data scientists to productionize machine learning models and build scalable services. Candidates should have experience in simulation-heavy domains and be adept at integrating real-time data pipelines. This role is positioned within a significant consultancy project aimed at modernizing urban infrastructure.
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
Key Skills:
- 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 (e.g. 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
Salary (Rate): £650 daily
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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 (e.g. 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.