At a Glance
- Tasks: Lead the pricing ML strategy and develop production-ready models for revenue optimisation.
- Company: Dynamic energy platform focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a forward-thinking team with exciting challenges and career advancement potential.
- Why this job: Shape the future of pricing with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in ML, Python, and cross-functional team collaboration.
The predicted salary is between 70000 - 90000 £ per year.
th EEM seeks a senior ML leader to own pricing ML strategy, roadmap, and production-ready models within a dynamic energy platform.
You will shape the pricing engine, balance risk and margin, and guide cross-functional teams including software engineers and MLOps.
You will apply probabilistic modelling, reinforcement learning, and causal inference to real-world pricing and revenue optimisation, with strong emphasis on scalable, production-grade Python solutions.
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Pricing ML Engineer — Production-Grade AI for Revenue in London employer: Tem, Inc
At tem, we are not just transforming the energy market; we are committed to fostering a dynamic and inclusive work environment that empowers our employees to thrive. As a Remote Baseload Originator, you will enjoy the flexibility of remote work while being part of a forward-thinking team dedicated to innovation and sustainability. We offer competitive benefits, opportunities for professional growth, and a culture that values transparency and collaboration, making us an exceptional employer for those passionate about reshaping the future of energy.
