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.