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- Tasks: Build and deploy AI-powered systems using advanced tools like Python and LLMs.
- Company: Leading AI solutions provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape AI strategies and drive innovation while mentoring teams.
- Qualifications: Deep knowledge of LLMs and strong communication skills.
- Other info: Join a dynamic team transforming AI into impactful business solutions.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI solutions provider in the United Kingdom is seeking an Applied AI Solution Engineer. In this role, you will build and deploy AI-powered systems using advanced tools like Python and LLMs. You will shape AI strategies while mentoring teams and driving innovation across multiple projects.
The ideal candidate has deep knowledge of LLMs and strong communication skills to engage with technical and non-technical stakeholders. This position is crucial for transforming AI into impactful business solutions.
Applied AI Solutions Engineer in Scotland employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Solutions Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to folks in the AI industry on LinkedIn or at local meetups. We can’t stress enough how important it is to connect with people who are already in the field; they might just know about opportunities that aren’t advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. We all love a good visual, so make sure to include case studies or demos that highlight your problem-solving abilities and innovative thinking.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. We recommend practising common interview questions related to AI solutions and also working on your communication skills. Remember, you’ll need to engage with both technical and non-technical stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to drive innovation in AI, just like you!
We think you need these skills to ace Applied AI Solutions Engineer in Scotland
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and LLMs in your application. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. We love seeing candidates who understand our needs and can demonstrate how they fit into our vision for AI solutions.
Communicate Clearly: Since you'll be engaging with both technical and non-technical folks, make sure your application showcases your strong communication skills. Use clear language and avoid jargon where possible to show us you can bridge that gap.
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 role in shaping AI strategies!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of LLMs and AI-powered systems. Be ready to discuss specific projects you've worked on, the tools you used, and the impact they had. This will show your deep understanding and passion for the field.
✨Showcase Your Communication Skills
Since you'll be engaging with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples where you've successfully communicated technical information to a non-technical audience.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to innovate or overcome challenges in AI projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Demonstrate Your Mentoring Experience
As mentoring is part of the role, be ready to share experiences where you've guided others. Highlight how you fostered collaboration and innovation within teams, as this will resonate well with the interviewers.
