Energy AI Engineer: Real-Time Trading & Onboarding AI

Fuse Energy; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Equity eligibility

Biannual bonus

Fully expensed technology

Private health insurance

Breakfast and dinner allowance

Job summary

Fuse Energy is building an integrated energy company delivering solar, battery, and generation projects while applying AI across its business. This role focuses on designing and deploying AI-powered consumer features and internal tools to improve productivity and trading alignment.

You will collaborate with backend engineers and data scientists to integrate AI-driven capabilities, leveraging weather and demand forecasts to enhance energy pricing strategies and market responsiveness.

Qualifications

• 3+ years of backend engineering experience with a strong interest in applied AI/ML
• Proficient in Python or similar language; familiarity with TensorFlow or PyTorch
• Experience with large-scale models and deploying AI solutions to production
• Understanding of cloud tech, containerisation, and scalable AI applications
• Ability to integrate AI/ML models into real-world apps with usability and performance focus
• Strong problem-solving skills and ability to work fast-paced
• Experience with large datasets, especially demand/supply forecasting
• Bonus: interest in energy markets, trading strategies, weather forecasting, and NLP

Responsibilities

• Design, develop, and deploy AI-powered consumer features with personalised energy recommendations
• Build and optimise internal AI tools to automate workflows and boost productivity
• Integrate AI-driven features into platforms with backend engineers and data scientists
• Collaborate with trading and operations to align AI models with real-time market conditions
• Improve AI models for trading strategies using weather and demand forecasts
• Monitor AI tools and models for efficient and reliable performance
• Stay updated on AI advances and apply them to energy-sector problems

Skills

Backend engineering

Python

AI/ML libraries

LLMs/VLMs

Cloud technologies

Containerisation

Data handling

Forecasting data

Job description

Fuse Energy is building an integrated energy company delivering solar, battery, and generation projects while applying AI across its business. This role focuses on designing and deploying AI-powered consumer features and internal tools to improve productivity and trading alignment.

You will collaborate with backend engineers and data scientists to integrate AI-driven capabilities, leveraging weather and demand forecasts to enhance energy pricing strategies and market responsiveness.