At a Glance
- Tasks: Design and develop AI features to enhance consumer energy experiences and streamline internal operations.
- Company: Join a pioneering renewable energy startup on a mission to revolutionise the energy system.
- Benefits: Competitive salary, equity bonus, tech allowance, and paid leave.
- Other info: Dynamic team environment with opportunities for growth in a fast-paced industry.
- Why this job: Make a real impact in the energy sector using cutting-edge AI technology.
- Qualifications: 3+ years engineering experience with strong backend and applied AI skills.
The predicted salary is between 63000 - 77000 £ 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'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 also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centres 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.
Requirements
- 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.
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.
Applied AI Engineer in London employer: Fuse Energy Supply
Fuse Energy is an exceptional employer for Senior Mobile Engineers, offering a dynamic and innovative work environment in the heart of London. With a strong focus on employee ownership and autonomy, you'll have the opportunity to shape products from concept to launch while working alongside a talented team dedicated to revolutionising the renewable energy sector. The company provides competitive salaries, equity bonuses, and a culture that prioritises personal growth and cutting-edge technology, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Fuse Energy Supply or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Fuse Energy Supply.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Fuse Energy Supply.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Fuse Energy Supply that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Fuse Energy Supply.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fuse Energy Supply and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Fuse Energy Supply
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Fuse Energy Supply uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
