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- Tasks: Architect and build innovative machine learning solutions for a health-tech start-up.
- Company: Join a revolutionary health-tech start-up making waves in the industry.
- Benefits: Private health insurance, regular salary reviews, and a brand new Macbook.
- Why this job: Make a real impact by creating adaptive training plans for thousands of users.
- Qualifications: 3+ years in machine learning, strong Python skills, and cloud experience.
- Other info: Fast-paced environment with ownership over features and excellent career growth.
The predicted salary is between 40000 - 65000 £ per year.
We are seeking a talented and experienced Machine Learning Engineer to join a rapidly expanding health-tech start-up, who are revolutionary within their field right now. As a Machine Learning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users.
- 3+ years experience in a similar role
- Demonstrable experience in cloud (ideally AWS)
- Strong Python Programming
- A deep understanding of designing and implementing complex algorithms, data science and machine learning
- Confident in working in a fast paced environment and looking to take ownership over features
Machine Learning Engineer Benefits:
- Private health insurance
- Regular salary reviews
- Brand new Macbook, a running watch of your choice, and anything else you need to do your best work.
Apply today for immediate consideration!
Machine Learning Engineer - Health Tech Start Up employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Health Tech Start Up
✨Network Like a Pro
Get out there and connect with people in the health tech space! Attend meetups, webinars, or even just chat with folks on LinkedIn. The more you engage, the better your chances of landing that Machine Learning Engineer role.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving Python and cloud technologies like AWS. This will give you an edge and demonstrate your hands-on experience.
✨Ace the Interview
Prepare for technical interviews by brushing up on algorithms and data science concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so let your passion for machine learning shine through!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative and are genuinely interested in joining our innovative team!
We think you need these skills to ace Machine Learning Engineer - Health Tech Start Up
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and cloud technologies like AWS. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or achievements!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background in machine learning can contribute to our health-tech mission. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Oho Group Ltd
✨Know Your Algorithms
Brush up on your understanding of complex algorithms and machine learning concepts. Be ready to discuss how you've implemented these in past projects, especially in a health-tech context. This will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Since strong Python programming is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and algorithm design.
✨Familiarise with Cloud Technologies
Get comfortable with cloud platforms, particularly AWS. Be prepared to discuss how you've used cloud services in previous roles, as well as any specific projects where you leveraged these technologies to enhance machine learning models.
✨Emphasise Ownership and Adaptability
This start-up environment is fast-paced, so highlight your ability to take ownership of features and adapt quickly. Share examples from your past experiences where you successfully managed projects or adapted to changing requirements.