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- Tasks: Develop innovative healthcare AI features and maintain CI/CD pipelines.
- Company: Dynamic UK-based healthcare AI technology company.
- Benefits: Flexible working options, healthcare plan, and exciting perks.
- Why this job: Join a growing field and make a difference in healthcare with AI.
- Qualifications: Experience in Python software engineering and interest in machine learning.
- Other info: Collaborative environment with opportunities to work with biotech clients.
The predicted salary is between 30000 - 42000 £ per year.
A healthcare AI technology company based in the UK is looking for a software engineer to join their ML engineering team, focusing on Python software engineering with some exposure to machine learning.
The role includes:
- Developing product features
- Maintaining CI/CD pipelines
- Collaborating with clients in the biotech sector
They offer flexible working options, a healthcare plan, and other benefits, making it an exciting opportunity in a growing field.
Remote-First Python ML Engineer for Health AI in Belfast employer: MCS Group
Contact Detail:
MCS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote-First Python ML Engineer for Health AI in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare AI space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and Python coding challenges. Practising with friends or using online platforms can help us nail those tricky questions.
✨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!
We think you need these skills to ace Remote-First Python ML Engineer for Health AI in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any experience with machine learning. We want to see how your background fits with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working in healthcare AI and how your skills can contribute to our team. Keep it engaging and personal – we love to see your passion!
Showcase Your Projects: If you've worked on any cool projects related to ML or Python, make sure to mention them! We’re keen to see practical examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at MCS Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python software engineering, and prepare to solve coding challenges that demonstrate your proficiency.
✨Familiarise Yourself with Machine Learning Concepts
Even if the role focuses more on software engineering, having a solid understanding of machine learning principles will set you apart. Be prepared to talk about any projects you've worked on that involved ML, and how you applied those concepts in real-world scenarios.
✨Understand CI/CD Pipelines
Since maintaining CI/CD pipelines is part of the job, make sure you can explain what CI/CD means and how you've implemented it in past projects. Highlight any tools or frameworks you’ve used, as this shows you're ready to hit the ground running.
✨Show Enthusiasm for Healthcare AI
This role is in the healthcare sector, so express your passion for using technology to improve health outcomes. Research the company’s products and be ready to discuss how you can contribute to their mission in the biotech space.
