Senior Staff Machine Learning Engineer - Pricing

The role

You will lead pricing ML within Rosso by building a platform that drives growth through target customer acquisition. You will focus on the pricing engine to balance growth and margin and contribute to systems managing portfolio imbalance decisions.

What you will do

• Own the technical direction for pricing ML
• Build ML systems for price optimisation
• Solve imbalance problems using probabilistic models
• Bridge modelling and production by working with software engineers and MLOps
• Communicate pricing decisions, assumptions, and trade-offs to technical stakeholders

Required qualifications

• Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty
• Track record of models that went from concept to production and delivered measurable commercial impact
• Quantitative background in a domain where prices, forecasts and risk interact
• Strong foundation in stochastic optimisation and probabilistic modelling
• Proven first-principles reasoning
• Production-grade Python
• High bar for code quality and system design
• Ability to work alongside software engineers as a technical peer across the full ML lifecycle
• Breadth across the full lifecycle including modelling, quant work, and productionising

Nice to have

• Experience with reinforcement learning or causal inference in applied, commercial settings
• PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar)
• Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc)
• Experience working with high data throughput systems in production
• Energy domain experience

Benefits

• Stock Options
• 25 days holiday + public holidays
• Swap public holidays for ones that matter most to you
• Extra day off for your birthday
• Up to £1,200 / €1,200 annually to upgrade your remote setup
• Up to £150 / €150 monthly on wellbeing

Before you apply

• Technical interview includes a live technical exercise

About the company

tem is a technology company rebuilding the energy transaction to be transparent and fair. They power energy for over 4,000 UK businesses across 8,500+ sites.