Company Detail

Fuse Energy
Member Since,
Login to View contact details
Login

About Company

Job Openings

  • Warehouse Manager  

    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. We're currently seeking an experienced and proactive Warehouse Manager with a strong attention to detail and a hands-on approach to driving warehouse efficiency, safety, and performance. If you're excited to lead operations within a fast-moving, innovative company, we'd love to hear from you. Responsibilities Oversee and manage the daily warehouse operations, including receiving, storing, picking, packing, and dispatching goods Ensure accurate processing and recording of inventory transactions using warehouse management systems Maintain a clean, safe, and well-organised warehouse environment in line with company policies and health and safety regulations Lead, support, and motivate warehouse staff to meet operational targets, deadlines, and quality standards Monitor and inspect goods for quality, quantity, and accuracy prior to dispatch Identify opportunities for process improvements to enhance efficiency and productivity Requirements Previous experience in a warehouse, logistics or distribution environment is essential Strong understanding of warehouse processes and inventory control Good organisational skills with strong attention to detail Ability to work well both independently and as part of a team Ability to lead, coordinate or support team members when required Comfortable in a fast-paced, hands-on work environment Physically able to lift and move goods as required Manual car license Benefits Competitive salary Full time, stable employment in a rapidly growing sector Opportunities for professional development and career progression The chance to be part of a mission driven company making a tangible impact on the future of energy #J-18808-Ljbffr Read Less
  • Remote Applied AI Engineer  

    - Newtownabbey
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Swansea
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Stirling
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Surrey
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Greater Manchester
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Warrington
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Oxfordshire
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less
  • Remote Applied AI Engineer  

    - Belfast
    Fuse Energy is a forward-thinking renewable energy startup on a missio... Read More
    Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. Responsibilities 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 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 Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner for office based employees Read Less

Company Detail

  • Is Email Verified
    No
  • Total Employees
  • Established In
  • Current jobs

Google Map

For Jobseekers
For Employers
Contact Us
Astrid-Lindgren-Weg 12 38229 Salzgitter Germany