At a Glance
- Tasks: Develop machine learning models to predict treatment effectiveness and assist with diagnosis.
- Company: Visible, a forward-thinking HealthTech company in Greater London.
- Benefits: Competitive salary, health benefits, and the chance to make a real difference.
- Other info: Collaborate with top researchers in a dynamic and innovative environment.
- Why this job: Join a mission-driven team and impact health outcomes for over 250,000 users.
- Qualifications: Experience in machine learning and a passion for health improvement.
The predicted salary is between 50000 - 70000 £ per year.
Visible is seeking a talented Data Scientist in Greater London to develop production-grade machine learning models aimed at predicting treatment effectiveness and assisting with diagnosis. You will collaborate with top researchers and utilize cutting-edge technology to impact health outcomes positively.
The role involves engaging in exploratory data analysis and being a vital member of a small, mission-driven team. If you have experience in machine learning and are passionate about improving health for over 250,000 users, this position is for you.
Production ML Engineer for HealthTech & Time-Series employer: Visible
Visible is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the health outcomes of over 250,000 users. Located in Greater London, we offer competitive benefits, opportunities for professional growth, and the chance to work with leading researchers in the HealthTech field, making this role not just a job, but a meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Engineer for HealthTech & Time-Series
✨Tip Number 1
Network like a pro! Reach out to professionals in the HealthTech space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to health outcomes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Production ML Engineer for HealthTech & Time-Series
Some tips for your application 🫡
Show Your Passion for HealthTech:When writing your application, let us see your enthusiasm for improving health outcomes. Share any relevant experiences or projects that highlight your commitment to using technology for better health solutions.
Highlight Your Machine Learning Skills:Make sure to showcase your expertise in machine learning. Include specific examples of models you've developed or worked on, especially those related to time-series data or healthcare applications. We want to know what you can bring to the table!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our mission-driven team.
How to prepare for a job interview at Visible
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how they work, their strengths and weaknesses, and how you would apply them to health-related data. This shows your expertise and passion for the field.
✨Showcase Your Data Analysis Skills
Since the role involves exploratory data analysis, come ready with examples of past projects where you’ve used data to derive insights. Discuss the tools and techniques you used, and be prepared to talk about how your findings impacted decision-making.
✨Understand the HealthTech Landscape
Familiarise yourself with current trends and challenges in HealthTech. Being able to discuss how machine learning can improve treatment effectiveness or assist with diagnosis will demonstrate your commitment to the mission of improving health outcomes.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, the technology they use, and their approach to developing models. This not only shows your interest but also helps you gauge if the company is the right fit for you.
