Senior ML Engineer: Productionize Models & Scale Pipelines

Trem Energy; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Trem Energy in the United States is seeking an experienced machine learning infrastructure engineer to shape and improve deployment pipelines for pricing, forecasting, and optimisation. You will design systems to move models from experiment to production quickly and reliably, and you will scale pipelines as volume grows.

Join a 160+ person team powering energy for thousands of UK businesses; you’ll build observability tooling, data contracts, and backtesting capabilities, with on-call support

Responsibilities

• Shape and improve the infrastructure for ML deployment across pricing, forecasting, and optimisation.
• Design and build systems to take models from experiment to production quickly and repeatably.
• Scale models and pipelines as volume and complexity grow.
• Build tooling to ensure models run reliably and catch failures, drift, and degradation early.
• Create operational monitoring and data validation through clear data contracts.
• Standardise processes so each new model ships faster.
• Develop tooling for evaluating ML models and optimisation algorithms including backtesting.
• Own model inference and training in production with on-call during working hours.
• Contribute directly to model improvements where your expertise moves the needle.

Job description

Trem Energy in the United States is seeking an experienced machine learning infrastructure engineer to shape and improve deployment pipelines for pricing, forecasting, and optimisation. You will design systems to move models from experiment to production quickly and reliably, and you will scale pipelines as volume grows.

Join a 160+ person team powering energy for thousands of UK businesses; you’ll build observability tooling, data contracts, and backtesting capabilities, with on-call support