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Freelance Model Engineer (Data)

Location:
London, Greater London, South East, England
Salary:
£600 - £650 per day, Benefits: Hybrid Preferred | Inside IR35 | Extendable
Job Type:
Contract
Date Posted:
17 days ago
Expiry Date:
23/05/2025
Job Ref:
BH-120416-1
Start Date:
08/04/2025
Contact:
Sergio Osman
Contact Email:
sergio.osman@xcede.com
Specialism:
Software Engineering & ArchitectureSoftwareEngland
Our client, a leading technology company is seeking an Model Engineer (Data) to contribute to the development of advanced and sophisticated 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.

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Sergio Osman

Sergio Osman

Specialisms: Data, Data Science, Digital & Product Analytics, Marketing & Insight Analytics, Data Engineering, Business Intelligence, Credit Risk & Analytics
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