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# Remote Applied AI Engineer

- **Company:** Fuse Limited
- **Location:** Worthing, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Pytorch, Large Language Models, Backend, Containerization, Scikit Learn
- **Published:** June 25, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-applied-ai-engineer-worthing-sussex/2835353680-2/

## About the Role

* Minimum 3 years of engineering experience
 * Proven experience as a Backend Engineer with a 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, etc.)
 * 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
 * Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 * Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 * Experience working with large datasets, particularly in relation to demand and supply forecasting

Bonus

 * Experience or strong interest in energy markets and trading strategies
 * Understanding of weather forecasting, energy demand patterns, and production modelling
 * Exposure to Natural Language Processing (NLP) or other related fields

## Description

* Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 * 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
 * Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 * Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively


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