At a Glance
- Tasks: Lead pricing ML strategies and develop models for energy trading optimisation.
- Company: Dynamic tech firm focused on innovative energy solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a significant impact in energy trading with cutting-edge machine learning technology.
- Qualifications: Strong background in machine learning and experience in pricing strategies.
The predicted salary is between 80000 - 100000 Β£ per year.
tem is searching for a Senior Staff Machine Learning Engineer to lead the pricing ML within their core IP, Rosso. This hands-on role demands real technical authority, allowing you to set strategy, define mathematical approaches, and develop models that autonomously optimize energy trading.
You'll collaborate with engineers to execute end-to-end solutions while being a voice for pricing ML across various teams. Your goal is to proactively drive growth while ensuring margin and portfolio balance.
Pricing ML Architect & Real-Time Optimization Leader employer: tem
As a leading innovator in energy trading, our company offers a dynamic work environment where creativity and technical expertise thrive. We prioritise employee growth through continuous learning opportunities and collaborative projects, ensuring that you can make a meaningful impact while advancing your career. Located in a vibrant area, we foster a culture of inclusivity and support, making us an excellent employer for those looking to excel in the field of machine learning and optimisation.