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- Tasks: Develop machine learning features for innovative energy solutions and collaborate with diverse teams.
- Company: Leading tech company in the energy sector focused on sustainability.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for impactful work.
- Why this job: Join a team making a real difference in sustainable energy with cutting-edge technology.
- Qualifications: Strong Python skills and a solid understanding of machine learning principles.
- Other info: Dynamic work environment with great potential for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in energy is seeking an experienced ML Engineer to join their Kraken Utilities team. This hands-on role focuses on developing machine learning and GenAI features for live products, collaborating closely with cross-functional teams.
The ideal candidate should have strong expertise in Python and machine learning fundamentals, and work effectively in a team-oriented environment.
The company offers flexible hybrid working, with the opportunity to make a significant impact on sustainable energy solutions.
ML Engineer for GenAI in Smart Utilities in London employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer for GenAI in Smart Utilities in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that ML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to GenAI. We want to see your hands-on experience and how you can contribute to the Kraken Utilities team.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and machine learning fundamentals. We recommend practising common technical questions and coding challenges to demonstrate your expertise during the interview process.
✨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 genuinely interested in joining our mission for sustainable energy solutions.
We think you need these skills to ace ML Engineer for GenAI in Smart Utilities in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about GenAI and sustainable energy solutions. We love seeing candidates who are genuinely excited about what we do.
Showcase Teamwork Skills: Since this role involves collaborating with cross-functional teams, share examples of how you’ve successfully worked in a team-oriented environment. We value collaboration, so let us know how you contribute to group success!
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’s super easy!
How to prepare for a job interview at Kraken
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be ready to discuss algorithms, model evaluation, and feature engineering. This will show that you have a solid foundation and can contribute effectively to the Kraken Utilities team.
✨Showcase Your Python Skills
Since Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your previous projects. Practising coding challenges or reviewing your past work can help you feel more confident.
✨Collaborate Like a Pro
This role involves working closely with cross-functional teams, so be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated in the past, highlighting your communication skills and ability to adapt to different team dynamics.
✨Passion for Sustainable Solutions
Express your enthusiasm for sustainable energy solutions during the interview. Research the company's initiatives and be ready to share your thoughts on how machine learning can drive innovation in this area. This will demonstrate your alignment with their mission and values.
