Staff ML Engineer, Dynamic Pricing (Remote)

Tem-Energy Limited; United Kingdom; Remote; GBP 104,000 - 127,000; Full time

Benefits offered by this job

Salary: £115,000+ per year

Stock options

25 days holiday + holidays

Remote across Europe

Home working budget

Job summary

Tem-Energy Limited is hiring a Staff Machine Learning Engineer (L4) for Pricing in Rosso. You will own key components of the dynamic pricing system, design experiments, and ship production-grade models that influence quotes and margins.

You’ll work cross-functionally with engineers, platform and commercial teams to ensure pricing is observable, safe, and reproducible in production. The role emphasizes hands-on coding, experimentation, and rapid iteration, with a focus on reducing sales

Qualifications

• Experience building and operating live ML systems that make automated decisions with money in production.
• Strong probabilistic modelling and decision-making under uncertainty in pricing/elasticity.
• Production-grade Python and design for observability, testing, and replay.

Responsibilities

• Own core components of the dynamic pricing system from design to production.
• Design experiments and bets to move business metrics and validate them.
• Build monitoring, guardrails, and reproducible pricing decisions for auditing and regulators.
• Collaborate with engineers, product and commercial teams to drive pricing improvements.

Skills

Production ML

Probabilistic modelling

Python

Observability

Cloud / AWS

CI/CD

Experimentation

Tools

AWS

Docker

Kubernetes

CI/CD

Job description

Tem-Energy Limited is hiring a Staff Machine Learning Engineer (L4) for Pricing in Rosso. You will own key components of the dynamic pricing system, design experiments, and ship production-grade models that influence quotes and margins.

You’ll work cross-functionally with engineers, platform and commercial teams to ensure pricing is observable, safe, and reproducible in production. The role emphasizes hands-on coding, experimentation, and rapid iteration, with a focus on reducing sales