Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build robust infrastructure for scaling ML models in the energy sector.
- Company: Leading energy technology firm based in the City of London.
- Benefits: Flexible hybrid working, competitive salary, and collaboration with industry experts.
- Why this job: Contribute to innovative solutions while working with cutting-edge machine learning tools.
- Qualifications: Background in Python and experience with ML tools like PyTorch and XGBoost.
- Other info: Opportunity to work in a dynamic environment with significant career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy technology firm in the City of London is seeking a Machine Learning Engineer to design and build robust infrastructure for scaling ML models that handle significant volumes of energy data. The ideal candidate will have a background in Python and experience with machine learning tools such as PyTorch and XGBoost. This position offers flexible hybrid working and the opportunity to collaborate with top industry peers while contributing to innovative solutions in the energy sector.
Hybrid Energy ML Platform Engineer – Real-Time Pipelines in City of London employer: Vortexa Ltd
Contact Detail:
Vortexa Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Energy ML Platform Engineer – Real-Time Pipelines in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy tech space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python, PyTorch, and XGBoost. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on real-time data processing and ML model scaling. Be ready to discuss how you've tackled similar challenges in the past. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team in the energy sector.
We think you need these skills to ace Hybrid Energy ML Platform Engineer – Real-Time Pipelines in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any machine learning tools like PyTorch and XGBoost. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific position. Mention how your background fits into the energy sector and the innovative solutions we’re looking to create together.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key points stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Vortexa Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with machine learning tools like PyTorch and XGBoost. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those related to scaling ML models or handling large datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Energy Sector
Familiarise yourself with current trends and challenges in the energy sector. Being able to discuss how machine learning can innovate and improve energy solutions will demonstrate your genuine interest in the field and align you with the company's goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This not only shows your enthusiasm for the role but also helps you gauge if the company culture and objectives align with your career aspirations.
