At a Glance
- Tasks: Design and solve complex computational STEM problems using Python for AI systems.
- Company: Mindrift connects specialists with exciting project-based AI opportunities.
- Benefits: Earn up to $55 per hour, flexible hours, and work on innovative projects.
- Other info: Flexible project-based work with potential for high earnings and skill development.
- Why this job: Make a real impact in AI while working on challenging and creative problems.
- Qualifications: 5+ years in machine learning, expert Python skills, and strong problem-solving abilities.
The predicted salary is between 44000 - 57000 £ per year.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
Participation Details
Participation is project-based, not permanent employment.
What This Opportunity Involves
- Design original computational STEM problems that simulate real scientific workflows
- Create problems that require Python programming to solve
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
- Verify solutions using Python with standard libraries (NumPy, Pandas, Scipy, scikit-learn)
- Document problem statements clearly and provide verified correct answers
What We Look For
- 5+ years of hands-on machine learning experience with proven business impact
- Portfolio of completed projects and publications showcasing real-world problem-solving
- Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
- Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
- Expert with SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Understanding of MLOps practices and model deployment workflows
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Strong written English (C1+)
Project Time Expectations
Tasks are estimated to require around 10-20 hours per week during active phases. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
Senior ML Engineer — GenAI & AI Systems (Contract) in Glasgow employer: Mindrift
Mindrift is an exceptional employer for those seeking to engage in cutting-edge AI projects while enjoying the flexibility of project-based work. With a strong focus on innovation and collaboration, employees benefit from a dynamic work culture that encourages creative problem-solving and offers opportunities for professional growth in the rapidly evolving field of machine learning. The chance to work with leading tech companies on meaningful projects makes Mindrift a unique and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer — GenAI & AI Systems (Contract) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or even online forums where you can chat with industry experts. You never know who might have a lead on that perfect project-based opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Python and machine learning. Make sure to include any publications or unique problem-solving approaches you've tackled. This will make you stand out when applying through our website.
✨Tip Number 3
Stay updated on the latest trends in GenAI and MLOps. Follow relevant blogs, podcasts, or social media accounts. This knowledge will not only help you in interviews but also show potential clients that you're passionate and informed about the field.
✨Tip Number 4
Practice makes perfect! Work on sample problems that require computational reasoning and Python programming. This will sharpen your skills and prepare you for real-world challenges. Plus, it’s a great way to demonstrate your expertise when you apply through us!
We think you need these skills to ace Senior ML Engineer — GenAI & AI Systems (Contract) in Glasgow
Some tips for your application 🫡
Showcase Your Experience:Make sure to highlight your 5+ years of hands-on machine learning experience. We want to see how you've made a real impact in your previous roles, so don’t hold back on sharing those success stories!
Demonstrate Your Python Skills:Since expert Python programming is a must, include specific examples of projects where you've used libraries like NumPy, Pandas, and scikit-learn. We love seeing how you’ve tackled complex problems with code!
Be Clear and Concise:When documenting your problem statements, clarity is key! We appreciate well-structured applications that are easy to read and understand, so keep it straightforward and to the point.
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 this exciting opportunity!
How to prepare for a job interview at Mindrift
✨Showcase Your Portfolio
Make sure to bring along a well-organised portfolio that highlights your completed projects and publications. This is your chance to demonstrate your real-world problem-solving skills, so pick examples that align with the job description and showcase your expertise in machine learning and Python programming.
✨Brush Up on Python and Libraries
Since the role requires expert Python programming, be prepared to discuss your experience with libraries like NumPy, Pandas, and scikit-learn. Practise coding problems that involve these libraries, as you might be asked to solve computationally intensive tasks during the interview.
✨Understand GenAI Technologies
Familiarise yourself with GenAI technologies such as LLMs and prompt engineering. Be ready to discuss how you've applied these technologies in past projects, as this will show your depth of knowledge and relevance to the role.
✨Communicate Clearly
Strong written English is a must for this position, so practise articulating your thoughts clearly and concisely. During the interview, ensure you explain your reasoning and problem-solving approaches in a way that's easy to understand, as this will reflect your ability to document problem statements effectively.
