At a Glance
- Tasks: Design and solve computational STEM problems using Python for innovative AI projects.
- Company: Mindrift connects specialists with exciting project-based AI opportunities.
- Benefits: Earn up to $55 per hour, flexible hours, and work on cutting-edge technology.
- Other info: Part-time, project-based role with potential for dynamic career growth.
- Why this job: Make a real impact in AI while working on diverse and challenging projects.
- Qualifications: 5+ years in machine learning, expert Python skills, and strong English proficiency.
The predicted salary is between 44000 - 57000 £ per year.
Please submit your CV in English and indicate your level of English proficiency. 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.
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
This opportunity is a good fit for ML specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:
- 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+)
How It Works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
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.
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. Please note that other projects on the platform may offer different earning levels based on their requirements.
Senior ML Engineer (Python, GenAI) - Part-time Project-Based in Manchester employer: Mindrift
Mindrift is an exceptional employer for specialists seeking flexible, project-based opportunities in the AI sector. With a focus on innovative problem-solving and collaboration with leading tech companies, employees benefit from a dynamic work culture that encourages creativity and professional growth. The part-time nature of the roles allows for a balanced lifestyle while engaging in meaningful projects that have a real-world impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer (Python, GenAI) - Part-time Project-Based in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Let them know you're on the lookout for project-based opportunities. You never know who might have a lead or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your portfolio! Make sure your past projects are easily accessible and well-documented. Highlight your problem-solving skills and the impact of your work. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, GenAI technologies, and MLOps practices. We want to see how you tackle real-world problems, so think of examples to share!
✨Tip Number 4
Stay proactive! Keep an eye on our website for new project postings that match your expertise. The more you apply, the better your chances of landing that perfect part-time gig in ML engineering!
We think you need these skills to ace Senior ML Engineer (Python, GenAI) - Part-time Project-Based in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in machine learning and Python programming. We want to see how your skills align with the project-based work we offer, so don’t hold back on showcasing relevant projects!
Show Off Your English Skills:Since strong written English is a must, ensure your CV is clear and free of errors. We’re looking for a C1+ level, so use this opportunity to demonstrate your proficiency in the language right from the start.
Highlight Your Projects:Include a portfolio of completed projects that showcase your problem-solving abilities and real-world impact. We love seeing how you’ve tackled challenges in the past, especially those involving GenAI technologies!
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to receive your application and get you started on your journey with Mindrift. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Mindrift
✨Showcase Your Python Prowess
Make sure to highlight your expertise in Python during the interview. Be ready to discuss specific projects where you've used libraries like Numpy, Pandas, and Scikit-learn. Prepare examples that demonstrate your problem-solving skills and how you’ve tackled computationally intensive tasks.
✨Demonstrate Your ML Knowledge
Brush up on your machine learning algorithms and methods. Be prepared to explain how you've applied these in real-world scenarios. Discuss any experience with GenAI technologies and MLOps practices, as this will show your depth of understanding and relevance to the role.
✨Prepare for Technical Questions
Expect technical questions that assess your reasoning and problem-solving abilities. Practice coding problems or case studies that require you to think critically and creatively. This will help you feel more confident and articulate during the interview.
✨Communicate Clearly and Confidently
Since strong written English is a requirement, practice articulating your thoughts clearly. Use concise language and avoid jargon unless necessary. This will not only showcase your communication skills but also ensure that your ideas are understood by the interviewers.
