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- Tasks: Develop innovative AI products and manage cloud infrastructure in healthcare.
- Company: Leading consultancy focused on healthcare innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare with cutting-edge AI technologies.
- Qualifications: Strong Python skills and knowledge of LLMs and AWS required.
- Other info: Join a dynamic team dedicated to transforming healthcare through technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy in healthcare innovation is seeking an AI Engineer to develop products using the latest AI technologies. This role includes responsibilities in backend development, AI integration, data engineering, and cloud infrastructure management.
Candidates should have significant Python experience and a solid understanding of LLMs and AWS. This full-time, permanent position offers competitive benefits and the chance to work on cutting-edge projects that positively impact healthcare.
Senior AI Engineer — LLM & Cloud Innovator in Preston employer: Circuit Medical Ltd
Contact Detail:
Circuit Medical Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer — LLM & Cloud Innovator in Preston
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare innovation space, especially those working with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, LLMs, and cloud solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AWS knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Engineer — LLM & Cloud Innovator in Preston
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in past projects, especially in relation to AI and backend development.
Demonstrate Your LLM Knowledge: Since this role focuses on LLMs, don’t hold back! Share any relevant projects or experiences that showcase your understanding of large language models and how they can be applied in healthcare.
Cloud Experience is Key: We’re looking for someone with a solid grasp of AWS and cloud infrastructure. Be sure to mention any specific tools or services you’ve worked with that relate to cloud management.
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 Circuit Medical Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies, especially around LLMs and how they integrate with cloud services like AWS. Be ready to discuss specific projects you've worked on that showcase your expertise in these areas.
✨Showcase Your Python Skills
Since significant Python experience is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python beforehand.
✨Understand the Healthcare Landscape
Familiarise yourself with current trends in healthcare innovation. Being able to discuss how AI can positively impact this sector will show your genuine interest and understanding of the role's context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction in AI and healthcare. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
