Overview
Software Engineer (Python) – 3 year programme | Inside IR35 | Hybrid
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 / Qualifications
- 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
Details
- Inside IR35
- Location: London (2 days per week in central London)
- Start: ASAP
- Contract: 6 month rolling contracts; 3 year programme of work
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, please apply.
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