Python Modelling Engineer – Digital Twin & Simulation

Xcede; London; Hybrid; GBP 60,000 - 80,000; Part time

Job summary

A pioneering technology company in London is seeking a Python Modelling Engineer for a hybrid role. The successful candidate will develop AI-driven simulations to support urban planning and infrastructure, utilizing C++ and Python. Experience with modelling tools and distributed computing is essential for this contract position, which offers a dynamic working environment focusing on innovation.

Qualifications

• Strong programming skills in C++ and Python.
• Experience with modelling and simulation tools, ideally in agent-based modelling.
• Proficiency in distributed computing, cloud-based infrastructure, and database optimisation.
• Knowledge of data engineering techniques and metadata management.
• Holistic approach to software development including testing and security.

Responsibilities

• Develop, optimise, test and deploy software models using C++ and Python.
• Work with mathematical modelling paradigms to support decision-making.
• Scale large-scale simulations, extracting meaningful insights from vast datasets.
• Scale large-scale simulations and extract insights from large datasets.
• Work with Kafka, Docker, Kubernetes, Helm.
• Design and optimise data pipelines, databases, and metadata management.

Skills

Programming skills in C++

Programming skills in Python

Modelling and simulation tools

Distributed computing

Cloud-based infrastructure

Data engineering techniques

Problem-solving skills

Tools

Kafka

Docker

Kubernetes

Helm

Job description

Overview

Python Modelling Engineer – Digital Twin & Simulation – London (Hybrid) | 6 Months + Extensions

Our client, a pioneering technology company, is seeking a Software Engineer specialising in Python, Digital Twin Cities and Modelling to develop and refine AI-driven simulations. This role involves building large-scale models to support complex decision-making in urban planning, infrastructure, and beyond.

Responsibilities

• Develop, optimise, test and deploy software models using C++ and Python.
• Work with mathematical modelling paradigms such as agent-based, event-based, and system dynamics modelling.
• Write production-quality code, ensuring best practices in performance, security, and maintainability.
• Scale large-scale simulations, extracting meaningful insights from vast datasets.
• Work with Kafka, Docker, Kubernetes, Helm.
• Design and optimise data pipelines, databases, and metadata management.

Qualifications

• Strong programming skills in C++ and Python.
• Experience with modelling and simulation tools, ideally in agent-based modelling.
• Proficiency in distributed computing, cloud-based infrastructure, and database optimisation.
• Knowledge of data engineering techniques and metadata management.
• A holistic approach to software development, including testing, documentation, and security.
• Strong problem-solving skills and the ability to collaborate effectively within a multidisciplinary team.

Employment details

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Engineering, Research, and Science
• Industries: Software Development and Research Services