At a Glance
- Tasks: Join our AI team to develop innovative features that enhance energy experiences for consumers.
- Company: Fuse Energy is revolutionising the energy sector with cutting-edge solutions.
- Benefits: Competitive salary, stock options, biannual bonuses, and fully expensed tech.
- Other info: Dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in the energy sector while working with advanced AI technologies.
- Qualifications: 4+ years in engineering, strong backend skills, and a passion for applied AI.
The predicted salary is between 36000 - 60000 € per year.
At Fuse Energy, we are transforming the energy sector with innovative solutions that empower consumers. As we continue to scale, we are building a cutting-edge AI team that will play a critical role in developing intelligent, consumer-facing features, as well as internal tools that will drive productivity and innovation across the company.
We are looking for an Applied AI Engineer to join our growing team at Fuse Energy. This position is ideal for an engineer 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.
As an Applied AI Engineer, you will work 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 Energy.
- 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.
- Continuously improve and optimise AI models (including LLM and VLM) to provide a better user experience.
- Develop scalable, maintainable AI infrastructure to support a growing set of consumer-facing and internal AI features.
- Collaborate with the trading and operations teams to ensure the 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.
Skills & Qualifications:
- Minimum 4 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 (LLM/VLM) and deploying AI-driven solutions into production.
- Solid understanding of cloud technologies, containerization, 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.
- Familiarity with cloud-based platforms (AWS is a plus) and services related to AI/ML is a plus.
- Experience or strong interest in energy markets and trading strategies.
- Understanding of weather forecasting, energy demand patterns, and production modelling.
- Experience working with large datasets, particularly in relation to demand and supply forecasting.
Bonus:
- Experience in the energy or utilities industry.
- Exposure to Natural Language Processing (NLP) or other related fields.
- Familiarity with data engineering practices and working with large datasets.
Competitive salary and a stock options sign-on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Paid annual leave. Breakfast and dinner for office based employees.
Applied Ai Engineer in England employer: Fuse Energy
At Fuse Energy, we pride ourselves on being an innovative employer that champions creativity and collaboration within the energy sector. Our work culture fosters continuous learning and growth, offering employees the chance to engage in cutting-edge AI projects that directly impact consumer experiences. With competitive salaries, stock options, and a supportive environment that prioritises employee well-being, Fuse Energy is the ideal place for those looking to make a meaningful difference in the world of energy.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Ai Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the energy and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to energy solutions. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise and passion for applied AI.
✨Tip Number 3
Tailor your approach! When you find a role that excites you, make sure to customise your pitch. Highlight how your experience aligns with their needs, especially in developing AI tools for consumer experiences. We want to see how you can make an impact at Fuse Energy!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Fuse Energy. Don’t miss out on the chance to be part of something innovative!
We think you need these skills to ace Applied Ai Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in backend engineering and applied AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the energy sector and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any AI projects, especially those related to consumer experiences or energy solutions, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, so include links or descriptions of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our innovative team at Fuse Energy!
How to prepare for a job interview at Fuse Energy
✨Know Your AI Stuff
Make sure you brush up on your knowledge of applied AI and machine learning. Be ready to discuss specific projects you've worked on, especially those involving LLMs or VLMs. Fuse Energy is looking for someone who can integrate AI into real-world applications, so be prepared to share how you've done this in the past.
✨Showcase Your Backend Skills
Since the role requires a strong backend engineering background, highlight your programming skills in Python or similar languages. Talk about your experience with AI/ML libraries like TensorFlow or PyTorch, and any large-scale models you've deployed. This will show that you have the technical chops to succeed in the role.
✨Understand the Energy Sector
Familiarise yourself with the energy market and trading strategies. Being able to discuss how AI can optimise trading based on weather forecasts and demand patterns will set you apart. Show that you’re not just an AI whiz but also someone who understands the industry’s nuances.
✨Collaborative Mindset
Emphasise your ability to work collaboratively with cross-functional teams. Discuss any experiences where you've partnered with backend engineers or data scientists to integrate AI features. Fuse Energy values teamwork, so demonstrating your collaborative spirit will resonate well with the interviewers.
