Remote ML Platform Engineer - Production & Observability

Tem-Energy; Greater London; Remote; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Stock options

Salary reviews

Holiday allowance

Remote-friendly

Wellbeing budget

Home office budget

Job summary

Tem-Energy is hiring a Senior Staff Machine Learning Engineer (ML Platform) to enhance the ML platform inside Rosso. You will improve infrastructure, tooling and standards to deploy, train, evaluate, monitor and iterate ML models with confidence.

You will focus on building the platform and tools that help the team work faster. You will own model inference and training in production, with on-call duties during working hours.

Qualifications

• Production ML experience in bringing models to users.
• Experience building or contributing to an MLOps stack for reliability and observability.
• Ability to design data systems (pipelines, databases) for large-data workloads.
• Experience with time-series forecasting in production environments.
• Willingness to own model inference and training in production with high ownership.

Responsibilities

• Shape and scale ML deployment infrastructure for pricing, forecasting and optimisation.
• Build fast from experiment to production with reusable tooling.
• Provide visibility into model performance and detect drift or failures.
• Own model inference and training in production and participate in on-call rotation.

Skills

ML engineering

MLOps

Time-series forecasting

Production ML

Job description

Tem-Energy is hiring a Senior Staff Machine Learning Engineer (ML Platform) to enhance the ML platform inside Rosso. You will improve infrastructure, tooling and standards to deploy, train, evaluate, monitor and iterate ML models with confidence.

You will focus on building the platform and tools that help the team work faster. You will own model inference and training in production, with on-call duties during working hours.