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 work options, and opportunities for professional growth.
- Other info: Join a fast-paced environment with excellent 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 Β£ per year.
thEEM 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.
We think you need these skills to ace Pricing ML Engineer β Production-Grade AI for Revenue
Machine Learning
Pricing Strategy
Probabilistic Modelling
Reinforcement Learning
Causal Inference
Python
Revenue Optimisation