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- Tasks: Design and solve complex computational problems using Python for advanced AI projects.
- Company: Join Mindrift, a leader in ethical AI innovation and collaboration.
- Benefits: Earn up to $55/hour, work remotely, and enhance your portfolio with cutting-edge projects.
- Why this job: Shape the future of AI while working flexibly around your studies or other commitments.
- Qualifications: Master's or PhD in STEM, 5+ years in Machine Learning, and strong Python skills.
- Other info: Fully remote role with opportunities for professional growth and impactful contributions.
The predicted salary is between 22 - 44 Ā£ per hour.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into realāworld expertise from across the globe.
About The Role
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you'll have the opportunity to collaborate on these projects.
Responsibilities
- 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 nonātrivial reasoning chains and creative problemāsolving approaches
- Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
- Document problem statements clearly and provide verified correct answers
How To Get Started
Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.
Requirements
- You hold a Masterās or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field
- You have at least 5 years of Machine Learning experience with proven business impact
- Strong programming skills in Python (numpy, pandas, scipy, sklearn)
- Solid understanding of numerical methods and computational algorithms
- Research or industry experience involving computational problemāsolving
- Your level of English is advanced (C1) or above
- You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
Our freelance role is fully remote so you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.
Benefits
- Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs
- Take part in a partātime, remote, freelance project that fits around your primary professional or academic commitments
- Work on advanced AI projects and gain valuable experience that enhances your portfolio
- Influence how future AI models understand and communicate in your field of expertise
Seniority Level: MidāSenior level
Employment Type: Partātime
Job Function: Other
Industries: IT Services and IT Consulting
Freelance Machine Learning Engineer (Python) in London employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Freelance Machine Learning Engineer (Python) in London
āØNetwork Like a Pro
Get out there and connect with fellow Machine Learning enthusiasts! Join online forums, attend meetups, or engage in social media groups. The more people you know, the better your chances of landing that freelance gig.
āØShow Off Your Skills
Create a portfolio showcasing your best projects. Include detailed descriptions of your problem-solving processes and the impact of your work. This will help potential clients see your expertise in action!
āØTailor Your Approach
When reaching out to potential clients, customise your pitch to highlight how your skills align with their needs. Mention specific projects or challenges they might face and how you can help solve them.
āØApply Through Our Website
Donāt forget to apply through our website for the best chance at landing that role! Weāve got exclusive features and AI-powered advice to help you stand out from the crowd.
We think you need these skills to ace Freelance Machine Learning Engineer (Python) in London
Some tips for your application š«”
Tailor Your Resume: Make sure your resume highlights your experience in Machine Learning and Python. We want to see how your skills align with the role, so donāt be shy about showcasing relevant projects or achievements!
Show Off Your English Skills: Since we need advanced English proficiency, itās a good idea to include any relevant certifications or experiences that demonstrate your language skills. Remember, clear communication is key in this role!
Be Specific About Your Experience: When detailing your past work, focus on specific projects where youāve made an impact. We love seeing concrete examples of how youāve tackled complex problems using Python and Machine Learning.
Apply Through Our Website: To make sure your application gets noticed, apply directly through our website. Itās the best way for us to keep track of your application and ensure youāre considered for this exciting opportunity!
How to prepare for a job interview at Mindrift
āØKnow Your Stuff
Make sure you brush up on your Python skills, especially with libraries like numpy, pandas, scipy, and sklearn. Be ready to discuss your past projects and how you've applied machine learning techniques to solve real-world problems.
āØShowcase Your Problem-Solving Skills
Prepare to demonstrate your ability to create computationally intensive problems. Think of examples where you've designed original STEM problems or tackled complex reasoning tasks, and be ready to explain your thought process.
āØCommunicate Clearly
Since the role requires clear documentation of problem statements, practice explaining your ideas succinctly. Use simple language to describe complex concepts, as this will show your ability to communicate effectively with both technical and non-technical audiences.
āØBe Ready to Adapt
The job mentions switching between tasks and topics quickly, so prepare to discuss how you've managed multiple projects or adapted to changing requirements in the past. Highlight your enthusiasm for learning new methods and tackling challenges head-on.
