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- Tasks: Design and integrate AI-driven solutions for enterprise environments using Python and Microsoft Azure.
- Company: Dynamic Glasgow-based technology firm focused on innovation.
- Benefits: Competitive compensation, continuous learning, and a collaborative work culture.
- Why this job: Join a cutting-edge team and shape the future of AI in enterprises.
- Qualifications: Experience in Python, data science, and cloud technologies.
- Other info: Flexible working options and great career advancement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A Glasgow-based technology firm is seeking a talented AI Engineer to design and integrate AI-driven solutions within enterprise environments. The ideal candidate will leverage expertise in Python, data science, and Microsoft Azure to develop scalable applications.
Responsibilities include:
- Developing AI-powered applications
- Integrating automation services
The position offers competitive compensation and opportunities for continuous learning in a collaborative environment.
AI Engineer — Enterprise AI in Glasgow (Flexible) employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — Enterprise AI in Glasgow (Flexible)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other AI enthusiasts. 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 AI projects, especially those using Python and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace AI Engineer — Enterprise AI in Glasgow (Flexible)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, data science, and Microsoft Azure. We want to see how you can leverage these skills to create AI-driven solutions, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the AI Engineer role. Mention specific projects or experiences that relate to developing scalable applications and integrating automation services. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Let us see your passion for AI without any fluff!
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 this exciting opportunity in our collaborative environment.
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Stack
Make sure you brush up on your Python skills and understand how to leverage Microsoft Azure for AI solutions. Be ready to discuss specific projects where you've used these technologies, as it shows your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data science challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company’s Vision
Research the technology firm and its approach to enterprise AI. Knowing their products and services will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and opportunities for continuous learning. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
