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- Tasks: Design and evaluate energy engineering problems using Python for AI projects.
- Company: Mindrift connects specialists with top tech companies for exciting AI opportunities.
- Benefits: Flexible part-time work, competitive pay, and the chance to enhance your skills.
- Why this job: Make a real impact in AI while working on diverse, innovative projects.
- Qualifications: Degree in Energy Engineering and strong Python skills required.
- Other info: Ideal for those seeking project-based work with flexible hours.
The predicted salary is between 13 - 22 £ per hour.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
While each project involves unique tasks, contributors may:
- Design rigorous energy engineering problems reflecting professional practice;
- Evaluate AI solutions for correctness, assumptions, and constraints;
- Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
- Improve AI reasoning to align with industry-standard logic;
- Apply structured scoring criteria to multi-step problems.
This opportunity is a good fit for energy engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:
- Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc.
- 3+ years of professional energy engineering experience.
- Strong written English (C1/C2).
- Strong Python proficiency for numerical validation.
- Stable internet connection.
- Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage.
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Freelance Energy Engineer with Python Experience - AI Trainer in London employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Energy Engineer with Python Experience - AI Trainer in London
✨Tip Number 1
Network like a pro! Reach out to fellow energy engineers and AI enthusiasts on LinkedIn or relevant forums. We can’t stress enough how valuable connections can be in landing those project-based gigs.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to energy engineering. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Stay updated with industry trends! Follow blogs, podcasts, or webinars about AI and energy engineering. This will not only boost your knowledge but also give you great talking points during interviews.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting project opportunities waiting for you. The more you apply, the better your chances of landing that perfect freelance role.
We think you need these skills to ace Freelance Energy Engineer with Python Experience - AI Trainer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application for the Freelance Energy Engineer role. Highlight your experience in energy engineering and Python, and show us how your skills align with the project-based nature of the work.
Showcase Your Skills: Don’t hold back on showcasing your Python proficiency! Include specific examples of how you've used Python for numerical validation or simulations in your previous projects. We want to see your expertise shine through!
Keep It Professional: While we love a friendly tone, remember to keep your application professional. Use clear and concise language, and ensure your written English is top-notch. This is your chance to demonstrate your strong communication skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your energy engineering knowledge and Python skills. Be ready to discuss specific projects you've worked on, especially those involving NumPy, Pandas, or SciPy. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some rigorous energy engineering problems during the interview. Think about how you would evaluate AI solutions or validate calculations. Practising these scenarios beforehand can help you articulate your thought process clearly.
✨Communicate Clearly
Since strong written English is a must, practice explaining complex concepts in simple terms. You might be asked to write or explain something technical, so being able to communicate effectively will set you apart from other candidates.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the projects or the company’s approach to AI. This shows your genuine interest and helps you gauge if the opportunity aligns with your career goals.
