At a Glance
- Tasks: Design and solve complex computational problems in exciting AI projects.
- Company: Leading AI services provider in the UK with a focus on innovation.
- Benefits: Competitive pay up to $55/hour and flexible remote work.
- Why this job: Join a dynamic team and contribute to groundbreaking AI solutions.
- Qualifications: Master's or PhD in STEM and 5+ years of Python experience.
The predicted salary is between 40 - 55 £ per hour.
A leading AI services provider in the United Kingdom is seeking a Freelance Machine Learning Engineer to design and solve complex computational STEM problems.
The ideal candidate:
- Holds a Master's or PhD in a STEM field
- Has at least 5 years of relevant experience
- Is proficient in Python and associated libraries
This part-time, remote role offers competitive rates up to $55/hour, with the flexibility to work around existing commitments while contributing to cutting-edge AI projects.
Remote Freelance ML Engineer (Python) - GenAI Projects in London employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Freelance ML Engineer (Python) - GenAI Projects in London
✨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 clients a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Stay updated with the latest trends in AI and machine learning. Follow blogs, attend webinars, and join online courses to keep your skills sharp and relevant.
✨Tip Number 4
Apply through our website! We make it easy for you to find freelance opportunities that match your expertise. Don’t miss out on the chance to work on exciting GenAI projects!
We think you need these skills to ace Remote Freelance ML Engineer (Python) - GenAI Projects in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool GenAI projects or have a portfolio, make sure to include that! We’re keen to see your practical experience and how you tackle complex problems in the STEM field.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your Python skills and the libraries relevant to machine learning. Be ready to discuss specific projects you've worked on, especially those involving GenAI. This will show that you not only have the theoretical knowledge but also practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex computational problems you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your thought process and how you approach challenges.
✨Understand the Company’s Vision
Research the AI services provider and their recent projects. Knowing their goals and how they align with your skills can give you an edge. It shows you're genuinely interested and can contribute to their mission effectively.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or future directions in AI. It not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.