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Senior ML Engineer - Renewable Energy Forecasting

Gulf Analytics

Remote · $148K - $176K · Full-time · Posted 5 months ago

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About the role

Grid operators and energy traders rely on our short-term production forecasts when making expensive decisions under uncertainty. We are hiring a senior ML engineer to improve model quality, deployment safety, and explainability for wind and solar forecasting products. This is a domain where stakeholders care deeply about confidence intervals and failure patterns, not just average error.

Responsibilities

  • Improve intraday and day-ahead forecasting workflows
  • Build safer deployment and monitoring patterns for forecast models
  • Work with domain specialists on weather, grid, and asset context
  • Measure performance across regions and seasonal conditions
  • Mentor mid-level engineers on modelling discipline and production quality

Requirements

  • 6+ years in ML engineering, forecasting, or time-series systems
  • Python for production-grade model tooling
  • TensorFlow or PyTorch for model development
  • SQL for feature and evaluation workflows
  • Statistics for uncertainty estimation and calibration
  • Experience shipping models with strong monitoring requirements

Benefits

  • $148,000 - $176,000 base salary
  • Remote within Europe
  • Equity participation and performance bonus
  • A mission with obvious real-world relevance
  • Serious engineering culture without unnecessary theatre

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$148,000 - $176,000

AI Expertise

AI & Machine Learning Engineers

Skills

python tensorflow sql statistics pandas

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About Gulf Analytics

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