At a Glance
- Tasks: Design and develop AI-driven solutions using cutting-edge technologies.
- Company: Join a Glasgow-based company making a global impact in the energy sector.
- Benefits: Competitive salary, flexible work options, and continuous learning opportunities.
- Why this job: Be part of an innovative team shaping the future with AI technology.
- Qualifications: Experience in AI integration, API development, and Azure cloud services.
- Other info: Collaborative environment with excellent career growth potential.
The predicted salary is between 52000 - 78000 £ per year.
£65,000 - £85,000 DOE + Benefits
Glasgow, Scotland - Flexible Options Available
MBN is exclusively supporting a Glasgow based organisation that helps businesses and communities grow globally within the energy sector. We work as a team and we’re proud of the difference we make to customers, to local communities, and towards a sustainable future for the world.
We are seeking a talented and driven AI Engineer to join our team in Glasgow. You will play a pivotal role in designing, developing, and integrating AI-driven solutions within enterprise environments. Leveraging your expertise in Python, data science, and Microsoft Azure, you will help shape the next generation of intelligent applications. The ideal candidate is passionate about innovation, thrives in collaborative settings, and is committed to delivering high-quality, scalable solutions.
What we offer:
- Work on cutting-edge AI and data-driven applications.
- Be part of an innovative and collaborative new team.
- Gain continuous learning and career growth opportunities.
- Competitive compensation and benefits package.
AI & Software Development
- Design, develop, and maintain AI-powered applications using .NET, C#, Python, and Azure cloud technologies.
- Build scalable, maintainable, and high-performance AI solutions for enterprise integration.
AI Solution Integration
- Integrate AI services and frameworks to enhance applications with automation, analytics, and advanced decision-making.
- Develop smart applications using Azure Open AI, Cognitive Services, and AI-driven APIs.
API Development & Cloud Solutions
- Develop secure, efficient, and scalable RESTful APIs for AI and enterprise applications.
- Deploy and manage AI/data solutions using Azure Open AI, Azure Kubernetes Service (AKS), and Azure Container Apps.
DevOps & Infrastructure
- Utilize Azure DevOps and GitHub for source control, CI/CD pipelines, and automated deployments.
- Implement Infrastructure as Code (IaC) using Terraform to streamline deployment and infrastructure management.
Collaboration & Best Practices
- Work closely with data scientists, engineers, and developers to deliver integrated AI and data solutions.
- Uphold code quality standards, ensuring clean, efficient, and well-documented code.
- Stay current with advancements in AI, the .NET ecosystem, data science, and cloud technologies.
You’ll have the following skills and experience:
- Strong communication and problem-solving skills.
- Experience in AI solution integration and API development (REST, GraphQL).
- Hands-on experience with Azure cloud services, including Azure OpenAI, AKS, and Azure Container Apps.
- Strong knowledge of SQL and NoSQL databases (Azure Cosmos DB, PostgreSQL) and cloud storage.
- Familiarity with microservices, event-driven architecture, and containerization (Docker, Kubernetes).
- Experience with CI/CD pipelines, Terraform, Azure DevOps, and GitHub.
- Proficiency in C#, .NET, or Python for AI-driven solutions and automation (Desirable).
AI Engineer in Glasgow employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow 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 coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, Azure, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and innovation, and explain why you’re excited about joining our team. Let us know how you can contribute to our mission in the energy sector.
Showcase Your Projects: If you've worked on any AI-driven applications or integrations, make sure to mention them! We love seeing real examples of your work, especially if they involve Azure or API development. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on being part of our team at StudySmarter!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Azure, and AI integration. Brush up on your knowledge of RESTful APIs and cloud services, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed or developed AI solutions. Highlight your role, the challenges you faced, and how you overcame them. This not only demonstrates your skills but also your problem-solving abilities.
✨Collaborative Mindset
Since the role emphasises teamwork, be ready to talk about your experience working in collaborative environments. Share examples of how you’ve worked with data scientists and engineers to deliver integrated solutions, showcasing your communication skills.
✨Stay Updated
The tech world moves fast, especially in AI. Make sure you’re aware of the latest trends and advancements in AI and cloud technologies. Mentioning recent developments can show your passion for innovation and commitment to continuous learning.