Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to build innovative adaptive training plans for thousands of users.
- Company: Be part of a revolutionary health-tech start-up making waves in the industry.
- Benefits: Enjoy flexible working, private health insurance, and regular salary reviews.
- Why this job: Make a real impact in health tech while working with cutting-edge technology.
- Qualifications: 3+ years experience, strong Python skills, and cloud expertise required.
- Other info: Receive a brand new Macbook and a running watch of your choice!
The predicted salary is between 48000 - 72000 £ 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.
Machine Learning Engineer Skills:
- 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:
- Flexible working
- Private health insurance
- Regular salary reviews
- Pension scheme
- 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
✨Tip Number 1
Familiarise yourself with the latest trends in health tech and machine learning. This will not only help you understand the company's mission but also allow you to discuss relevant topics during your interview, showcasing your passion for the field.
✨Tip Number 2
Network with professionals in the health tech industry, especially those who work with machine learning. Attend meetups or webinars to connect with potential colleagues and gain insights into the company culture and expectations.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical examples. Be ready to discuss specific projects where you've implemented complex algorithms or worked with cloud services like AWS, as this will highlight your hands-on experience.
✨Tip Number 4
Showcase your ability to thrive in a fast-paced environment by sharing experiences where you've successfully managed multiple tasks or projects simultaneously. This will illustrate your readiness to take ownership of features in a dynamic start-up setting.
We think you need these skills to ace Machine Learning Engineer - Health Tech Start Up
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and cloud technologies, particularly AWS. Emphasise your Python programming skills and any projects that showcase your ability to design and implement complex algorithms.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for health tech. Mention specific projects or experiences that demonstrate your ability to work in fast-paced environments and take ownership of features.
Showcase Relevant Projects: If you have worked on any projects related to adaptive training plans or similar applications, be sure to include them in your application. Provide links to your GitHub or portfolio to give the hiring team a clear view of your capabilities.
Highlight Soft Skills: In addition to technical skills, mention your soft skills such as teamwork, communication, and problem-solving. These are crucial in a start-up environment where collaboration and adaptability are key.
How to prepare for a job interview at Oho Group Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and cloud technologies, especially AWS. Bring examples of projects where you've implemented complex algorithms or machine learning models, as this will demonstrate your hands-on expertise.
✨Understand the Health Tech Landscape
Research the company and its products thoroughly. Familiarise yourself with current trends in health tech and how machine learning is being applied in this field. This knowledge will help you engage in meaningful discussions during the interview.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges or case studies during the interview. Practice articulating your thought process clearly when solving problems, as this will showcase your analytical skills and ability to work under pressure.
✨Emphasise Team Collaboration
Highlight your experience working in fast-paced environments and your ability to take ownership of features. Discuss how you’ve collaborated with cross-functional teams in the past, as teamwork is crucial in a start-up setting.
