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For Companies At a Glance
- Tasks: Build and deploy AI applications in real-world environments with a hands-on approach.
- Company: Join a leading AI solutions provider driving innovation in applied AI for major corporations.
- Benefits: Enjoy a competitive salary, hybrid work model, 25 days holiday, and private medical insurance.
- Why this job: Be part of a collaborative team shaping the future of enterprise AI while learning from experts.
- Qualifications: 2+ years in software engineering, ideally with Python and exposure to AI/ML tools.
- Other info: Excited candidates are encouraged to apply, even if they don't meet every requirement.
The predicted salary is between 44000 - 68000 £ per year.
Salary: £55,000 – £85,000 + EMI shares
Location: UK wide Home based / Hybrid (with occasional travel to client offices as needed). Main Locations - Edinburgh or Glasgow. Also roles in Manchester and London.
The Company
MBN have partnered with a leading AI solutions provider enabling organizations to achieve a competitive advantage through Generative AI. By working with large corporate clients, they create and deploy scalable, enterprise-ready AI solutions. Their strategic partnerships with major AI technology providers allow them to drive innovation in applied AI and build industry-leading solutions.
About the Role
As an Applied AI Solution Engineer, you’ll work as part of small, cross-functional teams to build and deploy AI-powered applications — such as language model agents and intelligent automation tools — into real-world enterprise environments. This is a hands-on role where you’ll contribute to solution design, development, testing, and deployment while learning from senior engineers and working directly with clients.
What You’ll Do:
- Develop AI applications using Python, large language models, and modern cloud-based tools.
- Contribute to the design and implementation of microservices and data pipelines.
- Collaborate with client stakeholders and engineers to understand requirements and deliver value.
- Participate in code reviews, testing, and deployment processes.
- Continuously learn and stay current on the latest trends in AI and software development.
What We’re Looking For:
- 2+ years of experience in software engineering (or strong portfolio/projects), ideally in Python.
- Exposure to AI/ML tools, APIs, or foundational models (e.g. OpenAI, Hugging Face, LangChain).
- Familiarity with cloud services (e.g. AWS, GCP, or Azure) and containerization (e.g. Docker).
- Interest in or experience with building microservices, APIs, or distributed systems.
- Prior work with data processing, prompt engineering, or LLM evaluation.
- Enthusiasm for learning, experimentation, and applying new AI tools to real-world problems.
- Strong communication skills and a collaborative mindset.
Key Benefits
- Competitive salary and EMI share options so you grow as we grow.
- Hybrid working model with flexibility.
- 25 days holiday + bank holidays.
- Private medical insurance and wellness support.
- Access to training, mentorship, and real R&D work with cutting-edge AI tools.
- Be part of a collaborative, forward-thinking team shaping the future of enterprise AI.
You don’t need to tick every box to apply — if you’re excited by the role and ready to grow in AI engineering, we want to hear from you.
Artificial Intelligence Engineer (Scotland) employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer (Scotland)
✨Tip Number 1
Familiarise yourself with the latest AI tools and frameworks mentioned in the job description, such as OpenAI and Hugging Face. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your collaborative skills by participating in open-source projects or contributing to AI communities. This demonstrates your ability to work in cross-functional teams and your enthusiasm for learning, which is highly valued in this role.
✨Tip Number 3
Prepare to discuss your experience with cloud services and containerization. Be ready to provide examples of how you've used these technologies in past projects, as they are crucial for the role of an AI Engineer.
✨Tip Number 4
Research the company’s recent projects and partnerships in the AI space. Being knowledgeable about their work will help you tailor your responses in interviews and show that you're genuinely interested in contributing to their mission.
We think you need these skills to ace Artificial Intelligence Engineer (Scotland)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with Python and AI/ML tools. Include specific projects or roles that demonstrate your skills in developing AI applications and working with cloud services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention your interest in AI and how your background aligns with their needs, especially in building microservices and collaborating with clients.
Showcase Your Projects: If you have a portfolio of projects, include links to them in your application. Highlight any work related to AI applications, data processing, or using APIs, as this will demonstrate your hands-on experience.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences during the interview process. Brush up on your knowledge of Python, cloud services, and AI tools, as well as your approach to problem-solving and collaboration.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Projects
Be prepared to discuss your previous projects, especially those involving Python and AI/ML tools. Highlight specific challenges you faced and how you overcame them, as this demonstrates your problem-solving skills and hands-on experience.
✨Understand the Company’s AI Solutions
Research the company’s AI solutions and their applications in real-world scenarios. Being knowledgeable about their products will allow you to ask insightful questions and show your genuine interest in their work.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in past projects. Emphasise your communication skills and ability to work in a team environment.
✨Stay Current on AI Trends
Familiarise yourself with the latest trends in AI and software development. Mention any recent advancements or tools you’ve explored, as this shows your enthusiasm for continuous learning and staying ahead in the field.
