Senior Staff ML Platform Engineer — Production & Observability

tem; United Kingdom; Remote; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Salary reviewed twice a year

Stock options

Remote first and flexible working

Job summary

tem is hiring a Senior Staff Machine Learning Engineer (ML Platform) to build and own our ML deployment platform. You will improve infrastructure, tooling and standards to enable rapid development, training, evaluation, monitoring and iteration of models with high confidence.

You will deploy, evaluate and backtest ML models and trading strategies, ensure observability, and own production inference. This role includes on-call work hours and may extend to out-of-hours as the platform grows.

Qualifications

• Strong ML engineering foundations with production experience.
• Experience building or contributing to an MLOps stack.
• Experience with large-data ML workloads and data systems.
• Experience with time-series forecasting.

Responsibilities

• Shape ML deployment infrastructure for pricing, forecasting, and optimisation.
• Scale models and pipelines as complexity grows.
• Build monitoring and validation for data and models.
• Own production model inference and training, with on-call responsibilities.

Skills

ML engineering

MLOps

Time-series forecasting

Production systems

Platform ownership

Education

Bachelor's degree in CS/Math/Stats

Tools

TensorFlow

PyTorch

Airflow

Job description

tem is hiring a Senior Staff Machine Learning Engineer (ML Platform) to build and own our ML deployment platform. You will improve infrastructure, tooling and standards to enable rapid development, training, evaluation, monitoring and iteration of models with high confidence.

You will deploy, evaluate and backtest ML models and trading strategies, ensure observability, and own production inference. This role includes on-call work hours and may extend to out-of-hours as the platform grows.