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Senior Staff MLE - Dynamic Pricing

Job Overview

Location

United Kingdom

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

June 19, 2026

Full Job Description

đź“‹ Description

  • • Senior Staff Machine Learning Engineer role focused on owning pricing ML within Rosso, tem's core transaction infrastructure that replaces traditional trading desks by forecasting energy prices, optimizing fees, and managing hedging decisions autonomously.
  • • Day-to-day responsibilities include defining the technical direction for pricing ML, formulating mathematical solutions for dynamic real-time pricing, building and shipping production-grade Python models end-to-end, solving imbalance problems via probabilistic risk modeling, and serving as the voice of pricing ML across commercial, product, and engineering teams.
  • • tem is rebuilding the global energy transaction infrastructure to make electricity markets transparent, fair, and AI-driven, having raised $75M Series B and already facilitating billions in energy transaction value through its RED product serving 2% of the UK market.
  • • The role offers the opportunity to shape a foundational AI-native pricing engine from formulation to deployment, influence cross-functional strategy, and work on a technically deep problem with real commercial impact in a rapidly scaling energy tech company.

🎯 Requirements

  • • Deep experience building ML systems for pricing, revenue optimisation, or real-time decision-making where pricing is the product, with a track record of models reaching production and moving commercial metrics
  • • Strong foundation in stochastic optimisation and probabilistic modelling, with the ability to formulate ambiguous business problems mathematically before selecting tools
  • • First-principles reasoning across methods — choosing between stochastic programming, reinforcement learning, classical ML, or heuristics based on problem demands rather than familiarity
  • • Engineering depth to match modelling expertise: production-grade Python, high code quality standards, and ability to carry models from formulation to deployment without engineering blockers
  • • Senior technical leadership experience: setting direction for significant technical areas, influencing cross-functional teams, and translating complex model behaviour into clear terms for stakeholders

🏖️ Benefits

  • • Opportunity to own and shape tem's core IP (Rosso) as a hands-on senior IC with real technical authority and autonomy
  • • Work on a globally impactful problem: rebuilding energy markets for transparency, fairness, and sustainability using AI-driven infrastructure
  • • Join a well-funded scaleup post-$75M Series B with backing from top-tier investors (Lightspeed, Atomico, Allianz, etc.) and global expansion underway
  • • Collaborate with a mission-driven team focused on decarbonisation and fair access to low-cost electricity
  • • Influence commercial outcomes directly through ML models that affect pricing, margin, and portfolio balance at scale

Skills & Technologies

Python
React
PyTorch
Senior
Hybrid
Degree Required

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About tem

tem is an energy technology company revolutionizing how businesses procure electricity and generators sell power. Through its innovative RED™ platform, tem helps businesses significantly reduce energy costs by eliminating waste from the traditional system, often achieving savings of up to 30%. The platform offers transparent billing and connects users with UK-based renewable generators, fostering a fairer value chain. Businesses gain total clarity over their energy usage and costs, while generators benefit from increased earnings for their output. With a mission to provide universal access to low-cost electricity, tem has already empowered over 3000 sites to optimize their energy transactions, driving efficiency and sustainability in the energy market.

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