Applied AI Engineer

Fuse Energy
London, Dubai
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Problem-solving","Collaboration","Communication"]

Applied AI Engineer at Fuse Energy, a renewables startup building AI-enabled energy solutions including consumer-focused features and internal automation. You’ll design and deploy AI-powered features for customers, collaborate with backend engineers and data scientists, and align AI models with real-time market conditions and energy pricing, while advancing scalable AI applications across the company.

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FursaFursa
Fuse Energy
Fuse Energy
3 months ago

Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Applied AI Engineer at Fuse Energy, a renewables startup building AI-enabled energy solutions including consumer-focused features and internal automation. You’ll design and deploy AI-powered features for customers, collaborate with backend engineers and data scientists, and align AI models with real-time market conditions and energy pricing, while advancing scalable AI applications across the company.
Location: London, Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models.
  • •Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows.
  • •Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.
  • •Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing.
  • •Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.

Key Requirements

  • •Minimum 3 years of engineering experience.
  • •Backend Engineer with strong interest and practical experience in applied AI or machine learning.
  • •Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch).
  • •Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production.
  • •Solid understanding of cloud technologies, containerisation and building scalable AI applications.
Experience:3+ yearsRenewables & Environment
Skills:Problem-solvingCollaborationCommunication
Languages:English
Tech Stack:PythonTensorFlowPyTorchLLMsVLMsCloudDockerKubernetes

Company Brief

Fuse Energy
Develops and delivers renewable energy solutions, focusing on clean power projects and services to enable decarbonization and grid flexibility for commercial and utility customers.
Industry: Renewable Energy
Website