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- Tasks: Design and code solutions for exciting AI projects using Python and machine learning.
- Company: Mindrift, a forward-thinking company based in Glasgow, UK.
- Benefits: Earn up to $55 per hour with flexible part-time hours.
- Other info: Part-time role with 10-20 hours per week during active projects.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: 5+ years in machine learning and strong Python skills required.
The predicted salary is between 22000 - 29000 £ per year.
Mindrift in Glasgow, United Kingdom, offers project-based opportunities for AI specialists with a focus on machine learning and Python programming. Contributors will design computational STEM problems, create code solutions, and verify answers.
Ideal candidates have:
- 5+ years of experience in machine learning
- Excellent Python skills
- Strong English proficiency at C1+ level
Compensation can reach $55 per hour depending on contributions. This is a part-time, non-permanent role requiring around 10-20 hours per week during active projects.
Project-Based ML Developer: Python & GenAI employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project-Based ML Developer: Python & GenAI
✨Tip Number 1
Network like a pro! Reach out to fellow AI enthusiasts and professionals in the field. Join online forums, attend meetups, or connect on LinkedIn. You never know who might have the inside scoop on project-based opportunities!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects. Include code snippets, problem-solving approaches, and any cool results you've achieved. This will help us see your expertise in action!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and Python programming challenges. Practice explaining your thought process clearly and concisely. We want to see how you tackle problems and communicate your ideas!
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Make sure to tailor your application to highlight your relevant experience in machine learning and Python. Let’s get you on board for some exciting projects!
We think you need these skills to ace Project-Based ML Developer: Python & GenAI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming and machine learning experience in your application. We want to see how your skills align with the project-based work we do at Mindrift!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Project-Based ML Developer role. We love seeing candidates who take this extra step.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
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 Mindrift
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your Machine Learning Experience
With 5+ years of experience in machine learning, you’ll want to highlight specific projects where you've made a significant impact. Prepare to explain your thought process, the algorithms you used, and the results you achieved. This will show your depth of knowledge and practical application.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning concepts and Python programming. Review common algorithms, data structures, and coding best practices. Being able to articulate your answers clearly will impress the interviewers.
✨Communicate Effectively in English
Since strong English proficiency is required, practice articulating your thoughts clearly and concisely. You might even want to do a mock interview with a friend to get comfortable discussing technical topics in English. This will help you convey your ideas more effectively during the actual interview.