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Job Location | Sheffield |
Education | Not Mentioned |
Salary | £35,000 - £45,000 per annum |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
Optimisation Engineer Sheffield £35,000 to £45,000 + Bonus + Private Healthcare + Pension + Holiday Excellent opportunity for a developer with modelling, simulation, AI, and python experience to join a stable, growing company in a varied, interesting, and challenging role. Through the past 12 months a lot of companies have struggled due to COVID-19, however through working with a range of key clients across 17 countries, operating in financially strong markets, this company have continued to thrive. Through growth they are looking for an Optimisation Engineer to join their busy team. In this role you will design, develop, and implement the Energy Optimisation System for a range of energy systems including battery, transformer, EV and renewable energy from requirements to production and commercial deployment. The ideal candidate will have previous experience working with energy systems and energy baseline methodology. Python skills, modelling skills and experience of simulation all advantageous. This is a fantastic opportunity to join an award winning, innovative business that is a market leader in its field in a role that will test and improve your skills. The role: *Design, develop and implement the Energy Optimisation System for Energy Systems, including battery, transformer, EV and renewable energy from requirements to production and commercial deployment*Develop AI algorithms with python*Modelling and simulation for the Energy Systems with the real-time simulator (Typhoon-HIL)*Data analyse for the Energy Systems*A mix of remote and site based working available The person: *Python programming experience *Excellent modelling skills and experience of simulation *Understanding of Energy systems & energy baseline methodology beneficial Required skills
Keyskills :
*Python programming experience *Excellent modelling skills and experience of simulation *Understanding of Energy systems energy baseline methodology