Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and solve computational STEM problems using Python and machine learning.
- Company: Mindrift, a forward-thinking company in Glasgow, UK.
- Benefits: Earn up to $55 per hour with flexible part-time hours.
- Other info: Perfect for those seeking a dynamic and impactful work environment.
- Why this job: Join a project-based role and apply your expertise in GenAI technologies.
- Qualifications: 5+ years of experience in ML and strong written English skills.
The predicted salary is between 44000 - 57000 £ per year.
Mindrift offers a project-based opportunity for ML specialists in Glasgow, UK. Contributors will engage in designing and solving computational STEM problems using Python while leveraging their expert knowledge in machine learning and statistical analysis.
This role is ideal for those with over 5 years of experience and knowledge of GenAI technologies, offering up to $55 per hour based on contributions. The role requires excellent written English and is flexible, suited for part-time involvement.
Project-Based ML Engineer: Python, GenAI & MLOps in Glasgow employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project-Based ML Engineer: Python, GenAI & MLOps in Glasgow
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python and GenAI. 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 common ML concepts and problem-solving techniques. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Project-Based ML Engineer: Python, GenAI & MLOps in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and machine learning in your application. We want to see how you've tackled computational problems in the past, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your application for this role. Mention your knowledge of GenAI technologies and how it relates to the projects you’ve worked on. This helps us see why you’re a perfect fit!
Keep It Clear and Concise: Since excellent written English is a must, make sure your application is easy to read. Use clear language and avoid jargon unless it’s necessary. We appreciate straightforward communication!
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 this exciting opportunity.
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 specific projects where you've used Python for machine learning and how you tackled challenges. They’ll want to see your problem-solving approach!
✨Showcase Your GenAI Knowledge
Since this role involves GenAI technologies, prepare to talk about your experience with them. Bring examples of how you've applied GenAI in past projects and be ready to discuss the latest trends in the field.
✨Prepare for Technical Questions
Expect some technical questions related to MLOps and statistical analysis. Brush up on key concepts and be prepared to explain your thought process clearly. Practising coding problems can also help you feel more confident.
✨Communicate Clearly and Confidently
As excellent written English is a requirement, practice articulating your thoughts clearly. During the interview, take your time to answer questions and don’t hesitate to ask for clarification if needed. Confidence goes a long way!