Developer — Forecasting & Optimisation

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Skills you'll use

What you'll do

• Research/Learn new and emerging technologies in the energy domain (concentrating on specific areas, e.g. various energy systems, transmission developments, energy market rules, etc.)
• Develop, test, and maintain Python-based optimisation models simulating the behaviour and revenue potential of energy assets in wholesale electricity markets
• Design, develop, review, re-factor, and maintain software with quality and performance in mind
• Develop the proposed feature/s while maintaining high quality coding standards
• Conduct technical testing to resolve existing or introduced problems
• Maintain technical documentation such as incremental design specifications and user manuals
• Actively use AI tools to accelerate development, debugging, and documentation workflows
• Bachelor's degree with 4+ years of relevant experience, or Master's degree with 2+ years of relevant experience, in Electrical Engineering, Computer Science, Applied Mathematics, Operations Research, or a related field
• Expert level proficiency in Python — clean, well-structured, production-quality code
• Expert level proficiency in mathematical optimisation — Pyomo, GurobiPy, or any LP/MIP solver

Who can apply

• Expert level proficiency in Python — clean, well-structured, production-quality code
• Expert level proficiency in mathematical optimisation — Pyomo, GurobiPy, or any LP/MIP solver
• Hands-on experience building, training, and deploying machine learning models
• Exposure to AWS: cloud-based compute, storage, or serverless services
• Comfortable using AI-powered developer tools — GitHub Copilot, ChatGPT, Claude-Code, or equivalent — to boost productivity
• Familiarity with Git, Docker, and standard software development practices
• Preferred- Knowledge of electricity markets, energy assets (BESS, Solar, Wind), or power systems

About Customized Energy Solutions

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