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- Tasks: Lead AI development and integration, focusing on intelligent forecasting and customer experiences.
- Company: Fuse is revolutionising energy with solar, wind, and hydrogen solutions, cutting costs for consumers.
- Benefits: Enjoy competitive salary, stock options, tech perks, and paid leave, plus free meals at the office!
- Why this job: Join a dynamic team shaping the future of energy and AI, making a real impact on sustainability.
- Qualifications: 5+ years in software engineering, 2+ years leading AI/ML teams, with strong collaboration skills.
- Other info: Work closely with top-tier investors and industry leaders in a fast-paced, innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.
This role is both strategic and hands-on. You’ll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.
Responsibilities
- Own the AI engineering roadmap and lead the development of AI-first features
- Productionize ML models, ensuring scalability, performance, and observability
- Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)
- Build systems that integrate AI into key parts of our stack, such as:
- Forecasting customer demand and renewable generation
- Dynamic pricing and energy trading algorithms
- Intelligent alerts and personalized customer features
Requirements
- Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams
- Deep experience deploying ML models into production environments
- Proficiency in designing scalable data pipelines and real-time inference systems
- Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)
- Strong cross-functional collaboration skills, particularly with data science and product teams
- Clear communication and an ability to prioritize for both experimentation and reliability
Bonus
- Familiarity with optimization, time series modeling, or forecasting
- Experience with large language models (LLMs), RAG, or generative AI in production
- Background in MLOps or AI infrastructure at scale
Benefits
- Competitive salary and an equity sign-on bonus
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Paid annual leave
- Breakfast and dinner allowance for office based employees
Head of Engineering (AI) employer: Fuse Energy
Contact Detail:
Fuse Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering (AI)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and energy sectors. Understanding how AI can optimise energy consumption and trading will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the AI and energy industries. Attend relevant conferences or webinars to connect with potential colleagues and learn about the challenges they face, which could be valuable talking points in your application.
✨Tip Number 3
Showcase your leadership skills by discussing past experiences where you've successfully led AI/ML projects. Be prepared to share specific examples of how you built and managed high-performing teams.
✨Tip Number 4
Research Fuse Energy's current AI initiatives and think critically about how you could contribute. Prepare thoughtful questions that demonstrate your interest in their mission and your strategic vision for the role.
We think you need these skills to ace Head of Engineering (AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and engineering. Focus on your leadership roles, particularly in AI/ML engineering teams, and showcase specific projects where you've deployed ML models or designed scalable data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its application in the energy sector. Mention how your background aligns with Fuse's mission and the specific responsibilities of the Head of Engineering role. Be sure to include examples of your strategic thinking and hands-on experience.
Showcase Technical Skills: Highlight your proficiency in modern ML tooling and frameworks such as PyTorch and TensorFlow. If you have experience with MLOps or deploying AI systems at scale, make sure to detail this in your application to demonstrate your technical expertise.
Emphasise Collaboration and Communication: Since the role requires strong cross-functional collaboration, provide examples of how you've successfully worked with product and data science teams in the past. Clear communication is key, so illustrate your ability to convey complex ideas effectively.
How to prepare for a job interview at Fuse Energy
✨Understand the Company’s Vision
Before your interview, make sure you grasp Fuse's mission and how they integrate AI into their energy solutions. Familiarise yourself with their projects and values, as this will help you align your answers with their goals.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML engineering in detail. Highlight specific projects where you've deployed ML models or designed scalable data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Head of Engineering, you'll need to lead a team. Share examples of how you've successfully managed teams in the past, focusing on your approach to mentoring, collaboration, and driving high performance within your team.
✨Prepare for Cross-Functional Collaboration Questions
Expect questions about how you work with product and data science teams. Prepare examples that illustrate your ability to communicate effectively and prioritise tasks that balance experimentation with reliability in AI projects.
