Staff ML Engineer – Dynamic Pricing (Remote)

Tem-Energy; Greater London; Remote; GBP 104,000 - 127,000; Full time

Benefits offered by this job

Stock options

Remote across Europe

25 days holiday

Remote setup budget

Wellbeing budget

Job summary

Tem-Energy is hiring a Staff Machine Learning Engineer (L4) for Pricing in Rosso. You will own key components of our dynamic pricing system, shipping production code and ensuring pricing decisions are correct in live environments.

You will collaborate with ML, platform and commercial teams to move metrics, design experiments, and build observability, guardrails and reproducibility. Energy experience is not required; we will teach the market.

Qualifications

• Production ML system with money-related decisions; handle failures like drift and rollbacks.
• Strong probabilistic modelling and decision-making under uncertainty.
• Production-grade Python with observability, testing, and reproducible pipelines.
• Experience running ML as production services on cloud infrastructure with CI/CD on AWS or similar.

Responsibilities

• Own core components of dynamic pricing end to end.
• Design experiments to move metrics and select bets.
• Build monitoring, guardrails, and staged release for live pricing.
• Explain model behaviour to engineers and business stakeholders.
• Redesign pricing workflows with AI integration.

Skills

Python

ML in prod

Observability

CI/CD

AWS

Education

PhD in a relevant field

Tools

Docker

Kubernetes

AWS

Terraform

Job description

Tem-Energy is hiring a Staff Machine Learning Engineer (L4) for Pricing in Rosso. You will own key components of our dynamic pricing system, shipping production code and ensuring pricing decisions are correct in live environments.

You will collaborate with ML, platform and commercial teams to move metrics, design experiments, and build observability, guardrails and reproducibility. Energy experience is not required; we will teach the market.