Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance our Generative AI Platform by designing services and implementing safety measures.
- Company: Join a leading utility company in the UK with a focus on innovation.
- Benefits: Enjoy a competitive salary, hybrid work options, and career growth opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: 2+ years of experience in Python and cloud environments like AWS or Azure.
- Other info: This is a mid-senior level role in a dynamic IT environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading utility company in the UK seeks an AI Engineer to enhance its Generative AI Platform. This hybrid role involves designing robust services, implementing safety measures, and building scalable infrastructure.
Candidates should have at least 2 years of experience, proficiency in Python, and hands-on expertise with cloud environments like AWS or Azure.
The position offers a mid-senior level opportunity with a full-time contract in Information Technology.
GenAI Platform Engineer – Scale, Safety & DX in London employer: E.ON Next
Contact Detail:
E.ON Next Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Platform Engineer – Scale, Safety & DX in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Generative AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and cloud environments. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and cloud services. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI Platform Engineer – Scale, Safety & DX in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and cloud environments like AWS or Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing Generative AI Platforms and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've designed robust services or implemented safety measures in past roles. We love seeing candidates who can think critically and tackle challenges head-on!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at E.ON Next
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any cloud platforms you've worked with, like AWS or Azure. Be ready to discuss specific projects where you've implemented scalable solutions or safety measures in AI.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous roles and how you tackled them. This role is all about enhancing the Generative AI Platform, so think of scenarios where your innovative solutions made a difference.
✨Understand the Company’s Vision
Research the utility company and its approach to AI. Knowing their goals and how your role fits into their strategy will help you align your answers with what they’re looking for, showing that you're genuinely interested in contributing.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current state of the Generative AI Platform, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.