Our client, aleading technology company is seeking an Model Engineer (Data) to contribute to the development of advanced andsophisticated simulations to help their partner organisations make data-driven decisions in complex environments. This position involves working across the entire modelling lifecycle, from concept through to deployment, with a strong emphasis on agent-based modelling, data integration, and performance optimisation Key Responsibilities: Strong software development skills in C++ and Python. Proven experience with agent-based modelling (ABMs), including working within the entire model lifecycle Familiarity with Kafka, shell scripting, and containerised deployments (Docker, Kubernetes, Helm). Experience optimising databases, metadata, and designing data pipelines. Ability to scale complex models and derive insights from large datasets. Skills & Experience: Build and scale agent-based models for urban and social simulations. Integrate data from multiple sources into high-performing digital twin environments. Lead model design and implementation efforts, from research to validation. Optimise performance and generalise models for reusability across new scenarios and locations. Experience with distributed systems, preferably Kafka. Shell scripting (e.g., Bash) is also a plus. Take a holistic view of software development - from documentation and testing to security If you're passionate about leveraging AI and simulations to shape decision-making, apply now or get in touch for more details. ADZN1_UKTJ