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- Tasks: Design evaluation suites and assess AI solutions in a research-driven environment.
- Company: Freelance data provider offering exciting project-based work.
- Benefits: Earn $100 to $120 per hour with flexible remote work.
- Why this job: Join a cutting-edge field and make an impact in machine learning.
- Qualifications: Strong experience in machine learning engineering and applied ML research.
- Other info: Ideal for independent thinkers looking for short-term, high-paying contracts.
The predicted salary is between 76 - 91 £ per hour.
A freelance data provider is seeking a Machine Learning Engineer for a short-term, project-based hourly contract offering $100 to $120 per hour. The ideal candidate should have strong experience in machine learning engineering and applied ML research.
Responsibilities include:
- Designing evaluation suites
- Assessing AI solutions
- Working independently in a research-driven environment
Strong written communication and technical detail orientation are also essential. This is a remote position.
Remote ML Engineer — Short-Term Contract in London employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — Short-Term Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a skilled ML Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects and any relevant research. This will help potential clients see your expertise in action and give you an edge over other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Be ready to discuss your past experiences and how they relate to the responsibilities of the role, especially in a remote setting.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about landing that ML Engineer gig!
We think you need these skills to ace Remote ML Engineer — Short-Term Contract in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in machine learning engineering and any applied ML research you've done. We want to see how your skills align with the responsibilities listed in the job description.
Be Clear and Concise: Strong written communication is key for this role. Keep your application clear and to the point, showcasing your technical detail orientation without overwhelming us with jargon.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the ML Engineer position. We love seeing candidates who take the time to connect their experience to our needs.
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 Data Freelance Hub
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those that involved designing evaluation suites or assessing AI solutions. This will show your depth of knowledge and practical experience.
✨Show Off Your Communication Skills
Since strong written communication is key for this role, prepare to demonstrate how you can explain complex technical details clearly. You might be asked to summarise a project or write a brief report during the interview, so practice articulating your thoughts concisely.
✨Research the Company
Even though it’s a freelance position, understanding the company’s mission and recent projects can give you an edge. Tailor your answers to align with their goals and show how your skills can contribute to their success in the short term.
✨Prepare for Remote Work Questions
As this is a remote position, be ready to discuss your experience working independently and managing your time effectively. Share examples of how you've successfully collaborated with teams remotely, as this will highlight your ability to thrive in a research-driven environment.
