At a Glance
- Tasks: Own and optimise energy pricing strategies using advanced machine learning techniques.
- Company: Join a forward-thinking team focused on innovative transaction infrastructure.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a collaborative team driving cutting-edge solutions.
- Why this job: Make a significant impact on real-time pricing strategies in a dynamic environment.
- Qualifications: Expertise in ML systems, stochastic optimisation, and strong Python skills required.
The predicted salary is between 60000 - 84000 £ per year.
tem seeks a Senior Staff Machine Learning Engineer to own the pricing ML for Rosso, their transaction infrastructure, aimed at optimizing energy pricing strategies. This hands-on role involves formulating complex pricing problems, building robust models, and collaborating with cross-functional teams.
The ideal candidate should have deep expertise in ML systems and stochastic optimization, alongside strong Python skills and experience in real-time pricing environments. This role plays a pivotal part in shaping tem's core pricing engine.
Senior MLE for Real-Time Revenue Pricing in London employer: tem
At tem, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Senior Staff Machine Learning Engineer, you will have access to cutting-edge technology and the opportunity to collaborate with talented professionals in a supportive environment that prioritises personal and professional growth. Located in a vibrant area, we offer competitive benefits and a commitment to work-life balance, making tem an exceptional employer for those seeking meaningful and rewarding careers in the energy sector.
