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- Tasks: Join us to build innovative machine learning solutions for health tech.
- Company: Be part of a revolutionary health-tech start-up making waves in the industry.
- Benefits: Enjoy flexible working, private health insurance, and a brand new MacBook.
- Why this job: Make a real impact while working in a fast-paced, dynamic environment.
- Qualifications: 3+ years in machine learning, strong Python skills, and cloud experience required.
- Other info: Immediate consideration for passionate candidates ready to innovate.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a talented and experienced Machine Learning Engineer to join a rapidly expanding health-tech start-up, which is revolutionary within its field.
As a Machine Learning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved 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 skills
- A deep understanding of designing and implementing complex algorithms, data science, and machine learning
- Confidence in working in a fast-paced environment and taking ownership of 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 all necessary tools to do your best work.
Apply today for immediate consideration!
Machine Learning Engineer - Health Tech Start Up employer: TN United Kingdom
Contact Detail:
TN United Kingdom 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. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the health tech industry, especially those who work with machine learning. Attend relevant meetups or webinars to make connections that could lead to referrals or insider information about the company.
✨Tip Number 3
Prepare to showcase your technical skills through practical assessments or coding challenges. Brush up on your Python programming and be ready to discuss your previous projects that involved complex algorithms and data science.
✨Tip Number 4
Research the company culture of the health tech start-up. Understanding their values and mission can help you tailor your responses in interviews, showing that you are not only a fit for the role but also for the team.
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. Use specific examples to demonstrate your skills in Python programming and algorithm design.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for health tech and your understanding of the role. Mention how your experience aligns with the company's mission and how you can contribute to their innovative projects.
Showcase Relevant Projects: If you have worked on any projects related to machine learning or health tech, include them in your application. Briefly describe your role, the technologies used, and the impact of the project.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at TN United Kingdom
✨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 health tech industry and be ready to discuss current trends and challenges. Showing that you understand the sector will help you connect your skills to the company's mission and goals.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios or case studies during the interview. This will allow you to showcase your analytical thinking and how you approach problem-solving in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future plans. This not only shows your interest but also helps you assess if the company is the right fit for you.
