Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design engineering solutions and validate AI outcomes using Python.
- Company: Leading AI project organisation in the UK with a focus on innovation.
- Benefits: Competitive pay up to $35/hour and flexible, part-time work.
- Why this job: Join exciting projects and make a real impact in the automotive AI field.
- Qualifications: Degree in Automotive Engineering and 3+ years of experience required.
- Other info: Perfect for specialists seeking non-permanent, project-based roles.
The predicted salary is between 26 - 35 £ per hour.
A leading AI project organization in the UK is looking for automotive engineers for part-time, project-based roles. Candidates should have a degree in Automotive Engineering or related fields and at least 3 years of experience.
Responsibilities include:
- Designing engineering problems
- Evaluating AI outcomes
- Validating results using Python
The position offers competitive pay, with rates up to $35/hour. This opportunity is ideal for specialists seeking flexible, non-permanent work on innovative projects.
Automotive AI Engineer & Python Validator (Project-Based) in London employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automotive AI Engineer & Python Validator (Project-Based) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the automotive and AI sectors. Attend industry events or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with automotive engineering and Python validation. This will give you an edge when discussing your qualifications during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Be ready to tackle real-world engineering problems and demonstrate how you evaluate AI outcomes effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting project-based roles waiting for you, and applying directly can sometimes give you a better shot at landing that dream job.
We think you need these skills to ace Automotive AI Engineer & Python Validator (Project-Based) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in Automotive Engineering and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter for this specific role. Mention your experience with AI and Python validation directly, as it shows us you’re serious about the position and understand what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. This helps us quickly see why you’d be a great fit!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your automotive engineering knowledge and AI principles. Be ready to discuss specific projects you've worked on, especially those involving Python validation. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some engineering problems during the interview. Think about how you would approach evaluating AI outcomes and validating results. Practising these scenarios beforehand can help you articulate your thought process clearly.
✨Be Ready for Technical Questions
Expect technical questions related to both automotive engineering and Python. Brush up on relevant coding concepts and be prepared to demonstrate your skills. You might even be asked to solve a coding challenge on the spot, so practice coding under pressure!
✨Highlight Your Flexibility
Since this role is part-time and project-based, emphasise your ability to adapt to different projects and work environments. Share examples of how you’ve successfully managed multiple tasks or projects simultaneously in the past.
