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For Companies At a Glance
- Tasks: Build and deploy AI systems that transform businesses using cutting-edge technology.
- Company: Join a forward-thinking company revolutionising enterprise AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while making a real impact in the business world.
- Qualifications: Experience with LLMs, model optimisation, and strong communication skills.
- Other info: Dynamic role with mentorship opportunities and a focus on innovation.
The predicted salary is between 28800 - 48000 £ per year.
Are you passionate about turning cutting‑edge AI into real business impact? Join a company that’s helping enterprises harness the power of Generative AI — from crafting meaningful strategies to deploying production‑ready solutions that change how businesses operate. As an Applied AI Solution Engineer, you’ll be at the heart of this transformation — combining hands‑on engineering with strategic thinking to deliver world‑class AI systems.
What you’ll do:
- Build and deploy AI‑powered systems using Python, microservices, distributed systems, and LLMs
- Shape AI strategies, mentor teams, and drive innovation across multiple projects
- Partner with senior stakeholders to bring clarity to complex AI concepts
What we’re looking for:
- Deep understanding of LLMs — fine‑tuning, training, and prompt engineering
- Strong grasp of model optimization, evaluation, and cost management
- Expertise in solution architecture and enterprise software development
- Confident communicator with both technical and non‑technical audiences
- Natural mentor and leader who thrives on innovation
If you’re ready to build impactful AI solutions and shape the future of enterprise AI — we want to hear from you. Apply now or reach out for a confidential chat.
AI Engineer in Scotland employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Scotland
✨Tip Number 1
Network like a pro! Connect with folks in the AI space on LinkedIn or at meetups. 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 involving LLMs and Python. 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 your communication skills. Be ready to explain complex AI concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that align with your passion for AI. Check out our website for openings and apply directly — it’s the best way to get noticed!
We think you need these skills to ace AI Engineer in Scotland
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with the cutting-edge technology and how it can create real business impact. Share specific examples of your experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to reflect the job description. Highlight your skills in Python, LLMs, and solution architecture. We love seeing candidates who take the time to align their experience with what we’re looking for!
Be Clear and Concise: We appreciate clarity! When explaining your technical skills and experiences, keep it straightforward. Avoid jargon overload and make sure even non-technical folks can understand your contributions. This will show us you can communicate effectively with diverse teams.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, model optimisation, and prompt engineering. Be ready to discuss specific projects where you've applied these skills, as this will show your hands-on experience and understanding of the technology.
✨Showcase Your Communication Skills
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex AI concepts in simple terms. This will demonstrate your ability to bridge the gap between different audiences and highlight your confidence as a communicator.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach real-world problems using AI. Think about past experiences where you've shaped strategies or mentored teams, and be ready to share those stories to illustrate your strategic thinking and leadership skills.
✨Demonstrate Your Passion for Innovation
Companies want to see that you're not just technically skilled but also passionate about driving innovation. Share examples of how you've contributed to innovative projects or ideas in the past, and express your enthusiasm for shaping the future of enterprise AI.
