Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative AI applications that transform the healthcare sector.
- Company: Leading company in healthcare solutions with a focus on technology.
- Benefits: Hybrid work structure, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare using cutting-edge AI technology.
- Qualifications: Expertise in machine learning, Python, and regulatory compliance in biotech.
- Other info: Fast-paced environment with exciting project management opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading company in healthcare solutions is seeking an AI Engineer to develop cutting-edge AI applications that positively impact the healthcare sector. The role demands expertise in machine learning engineering and a strong capability in Python and ML frameworks. The candidate should thrive in fast-paced environments and possess a deep understanding of regulatory compliance in biotech. This position offers a hybrid work structure based in the Southeast Michigan area, requiring the ability to efficiently manage project goals.
Healthcare AI Engineer | MLOps & GenAI in Plymouth employer: DeWinter Group
Contact Detail:
DeWinter Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Healthcare AI Engineer | MLOps & GenAI in Plymouth
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI 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
Showcase your skills! Create a portfolio of your projects, especially those involving machine learning and Python. We recommend sharing this on platforms like GitHub to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of regulatory compliance in biotech. We suggest practising common interview questions related to AI applications in healthcare to stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that Healthcare AI Engineer role!
We think you need these skills to ace Healthcare AI Engineer | MLOps & GenAI in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align 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 passionate about healthcare AI and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Regulatory Knowledge: Since this role involves compliance in biotech, make sure to mention any experience you have with regulatory standards. We’re looking for someone who understands the importance of these guidelines in developing AI solutions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at DeWinter Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the ML frameworks mentioned in the job description. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Healthcare Regulations
Since this role involves working in the healthcare sector, it's crucial to have a solid grasp of regulatory compliance in biotech. Familiarise yourself with relevant regulations and be prepared to discuss how they impact AI applications in healthcare.
✨Showcase Your Problem-Solving Skills
In fast-paced environments, problem-solving is key. Prepare examples of how you've tackled complex issues in previous roles, particularly those related to AI or machine learning. This will demonstrate your ability to manage project goals effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, team dynamics, and future goals in AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
