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- Tasks: Develop and maintain AI applications using Python and Azure.
- Company: Leading UK technology firm with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a collaborative team and make an impact with real-world AI tools.
- Qualifications: Strong Python skills, API development experience, and cloud environment knowledge.
- Other info: Dynamic work culture with exciting projects in AI technology.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology firm in the UK is seeking an AI Engineer to develop and maintain AI-driven applications using modern Python frameworks and managing scalable solutions in Azure. Your role involves designing robust APIs, integrating Large Language Models, and ensuring system security and performance.
The ideal candidate has strong experience in Python, building APIs, and working within cloud environments. Join a collaborative team focused on deploying real-world AI tools that enhance business operations.
Production AI Engineer: Python, LLMs & Azure employer: Amtis - Digital, Technology, Transformation
Contact Detail:
Amtis - Digital, Technology, Transformation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: Python, LLMs & Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, APIs, and Azure. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI, Python, and cloud solutions. Practise coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Production AI Engineer: Python, LLMs & Azure
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to build APIs or work with AI-driven applications, so don’t hold back on the details!
Talk About Your Cloud Experience: Since we’re all about Azure, let us know about your experience in cloud environments. Share specific projects where you’ve managed scalable solutions and how you tackled any challenges along the way.
Demonstrate Your API Design Knowledge: We’re looking for someone who can design robust APIs, so include examples of your past work. Explain the thought process behind your designs and how they contributed to the overall success of your projects.
Be Yourself and Be Clear: While we love technical skills, we also value personality! Write your application in a clear and engaging way that reflects who you are. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Amtis - Digital, Technology, Transformation
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with modern frameworks and how you've used them in past projects. They’ll likely ask you to solve a coding problem, so practice common algorithms and data structures.
✨Showcase Your API Design Skills
Prepare to talk about your experience designing and building APIs. Have examples ready that demonstrate your ability to create robust and scalable solutions. It’s also a good idea to understand RESTful principles and be able to explain how you’ve implemented them in your work.
✨Familiarise Yourself with Azure
Since this role involves working within cloud environments, make sure you’re comfortable discussing Azure services. Brush up on how you’ve managed scalable solutions in the cloud and be prepared to share specific examples of projects where you’ve utilised Azure.
✨Understand LLMs and Their Applications
As they’re looking for someone who can integrate Large Language Models, take some time to understand their capabilities and limitations. Be ready to discuss how you’ve worked with LLMs in the past and how they can enhance business operations. This will show your depth of knowledge and enthusiasm for the role.