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- Tasks: Design and develop advanced Graph Neural Network models for oil & gas applications.
- Company: Leading technology firm at the forefront of innovation.
- Benefits: Competitive salary, travel opportunities, and professional growth.
- Why this job: Make a significant impact in advanced engineering projects while working with cutting-edge technology.
- Qualifications: MS/PhD in relevant fields and expertise in Graph Neural Networks and Python.
- Other info: Initial business trip to Kuwait for hands-on experience.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm is looking for a skilled Machine Learning Engineer to develop advanced Graph Neural Network models for oil & gas applications. The role involves designing neural networks, building predictive models, and collaborating with engineers.
Candidates should hold an MS/PhD in relevant fields and have deep expertise in Graph Neural Networks, alongside strong Python skills. This position requires a business trip to Kuwait for the initial months and aims at significant contributions to advanced engineering projects.
GNN Engineer for Physics Surrogates in Oil & Gas in London employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GNN Engineer for Physics Surrogates in Oil & Gas in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the oil & gas sector, especially those working with Graph Neural Networks. Use platforms like LinkedIn to connect and engage in discussions; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and Graph Neural Networks. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding of neural networks. Practice coding challenges and be ready to discuss your thought process; we want to see how you tackle problems in real-time!
✨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—so go ahead and hit that apply button!
We think you need these skills to ace GNN Engineer for Physics Surrogates in Oil & Gas in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Graph Neural Networks and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or experiences!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the GNN Engineer position. We love seeing candidates who take the time to connect their background with what we’re looking for in this role.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and qualifications are easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Luxoft
✨Know Your Graph Neural Networks
Make sure you brush up on your knowledge of Graph Neural Networks. Be ready to discuss their applications in oil and gas, and how you can leverage them to solve real-world problems. Prepare to explain complex concepts in simple terms, as this shows your depth of understanding.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss previous projects where you used Python effectively. Practise coding challenges related to machine learning to boost your confidence.
✨Understand the Business Context
This position involves significant contributions to engineering projects, so it’s crucial to understand the business side of things. Research the company’s projects in oil and gas and think about how your work can impact their bottom line. This will help you align your answers with their goals during the interview.
✨Prepare for the Kuwait Trip
Since the role requires a business trip to Kuwait, be ready to discuss your flexibility and willingness to travel. Show enthusiasm for the opportunity to work in a different environment and how you can adapt to new challenges. This will demonstrate your commitment to the role and the company.
