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- Tasks: Develop and deploy machine learning models for impactful healthcare projects.
- Company: Leading healthcare technology company focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by applying your AI skills.
- Qualifications: PhD with 2 years or MSc with 5 years experience in ML.
- Other info: Collaborative environment with a focus on research and real-world applications.
The predicted salary is between 48000 - 72000 £ per year.
A leading healthcare technology company is seeking an AI/Machine Learning Engineer to join their Applied Research and Engineering Team. This role focuses on developing and deploying machine learning models for healthcare projects, requiring expertise in Python and ML libraries.
The ideal candidate will have a PhD with 2 years' experience or an MSc with 5 years' experience. You will collaborate with multidisciplinary teams to translate research into real-world applications, ensuring compliance with data protection regulations.
Production ML Engineer, Healthcare & Life Sciences in London employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer, Healthcare & Life Sciences in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for AI and machine learning.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with ML libraries. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on any healthcare-related ML projects, make sure to highlight them in your conversations. Having tangible examples can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Production ML Engineer, Healthcare & Life Sciences in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and ML libraries in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention any relevant projects or experiences that relate to healthcare and life sciences, as this will help us see your fit for the team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your qualifications and motivations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IC Resources
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific libraries you've used, like TensorFlow or PyTorch, and how you've applied them in real-world healthcare projects.
✨Showcase Your Collaboration Skills
Since this role involves working with multidisciplinary teams, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you translated complex research into practical applications, especially in a healthcare context.
✨Understand Data Protection Regulations
Familiarise yourself with data protection regulations relevant to healthcare, such as GDPR. Be prepared to discuss how you ensure compliance in your work, as this is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions in healthcare technology. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
