Machine Learning Engineer - Health Tech Start Up
Machine Learning Engineer - Health Tech Start Up

Machine Learning Engineer - Health Tech Start Up

London Full-Time 40000 - 65000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build innovative machine learning solutions for a health-tech start-up.
  • Company: Join a revolutionary health-tech start-up making waves in the wellness industry.
  • Benefits: Enjoy private health insurance, regular salary reviews, and top-notch tech gear.
  • Why this job: Be part of a fast-paced environment where your work directly impacts thousands of users.
  • Qualifications: 3+ years in machine learning, strong Python skills, and cloud experience (AWS preferred).
  • Other info: Immediate consideration for passionate candidates ready to take ownership.

The predicted salary is between 40000 - 65000 Β£ per year.

Machine Learning Engineer – Health Tech Start Up

Machine Learning Engineer – Health Tech Start Up

This range is provided by Oho Group Ltd. Your actual pay will be based on your skills and experience β€” talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Oho Group Ltd

Machine Learning Engineer – Health Tech Start Up

We are seeking a talented and experienced Machine Learning Engineer to join a 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

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Wellness and Fitness Services and Software Development

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Machine Learning Engineer - Health Tech Start Up employer: Oho Group Ltd

Join a dynamic health-tech start-up in London that is at the forefront of innovation in wellness and fitness services. As a Machine Learning Engineer, you will benefit from a supportive work culture that prioritises employee growth, offering regular salary reviews and access to cutting-edge technology like a brand new Macbook and a running watch of your choice. With private health insurance and the opportunity to make a significant impact on the lives of tens of thousands of users, this role promises a rewarding and meaningful career path.
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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. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Showcase your experience with cloud platforms, especially AWS. If you have any personal projects or contributions to open-source that utilise cloud services, be ready to discuss them in detail.

✨Tip Number 3

Prepare to explain complex algorithms and data science concepts in simple terms. The ability to communicate technical details clearly can set you apart from other candidates.

✨Tip Number 4

Network with professionals in the health tech space. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable referrals or insights about the company.

We think you need these skills to ace Machine Learning Engineer - Health Tech Start Up

Machine Learning Algorithms
Python Programming
Cloud Computing (AWS)
Data Science
Algorithm Design
Statistical Analysis
Model Evaluation and Tuning
Software Development Lifecycle
Version Control (Git)
Problem-Solving Skills
Fast-Paced Environment Adaptability
Feature Ownership
Collaboration and Teamwork
Communication Skills

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, cloud technologies (especially AWS), and Python programming. Use specific examples to demonstrate your skills and achievements in these areas.

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 Your Projects: If you have worked on any relevant projects, especially those involving adaptive training plans or complex algorithms, be sure to include them in your application. Provide links to your GitHub or portfolio if applicable.

Highlight Soft Skills: In addition to technical skills, emphasise your ability to work in fast-paced environments and your readiness to take ownership of features. This will show that you are not only technically proficient but also a good fit for the company culture.

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 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 aligns with your career aspirations.

Machine Learning Engineer - Health Tech Start Up
Oho Group Ltd

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