Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build AI decisioning systems and engage in feature engineering at scale.
- Company: MBN Solutions, a leader in innovative AI solutions.
- Benefits: Remote work options, flexible hours, and competitive salary.
- Other info: Be part of a UK-wide initiative for career growth and innovation.
- Why this job: Join a dynamic team and make an impact in AI-driven decision making.
- Qualifications: Experience in AI and machine learning with a focus on explainability.
The predicted salary is between 60000 - 80000 £ per year.
MBN Solutions is seeking talent for a role focused on building the execution layer of AI decisioning systems. You will engage in feature engineering at scale and embed machine learning into agent-based workflows, ensuring the models produced are explainable and auditable.
Opportunities for remote and flexible working are available, as a part of a UK-wide initiative. Bring your expertise in AI to drive demands forecasting and systematic decision making within innovative environments.
Agentic ML Engineer (Remote) in Scotland employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic ML Engineer (Remote) in Scotland
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on platforms like LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with feature engineering and explainable AI. Practise common interview questions and consider doing mock interviews with friends or mentors to build confidence.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work in AI decisioning systems and machine learning. Include case studies that demonstrate your ability to embed ML into workflows and ensure models are auditable—this will set you apart from other candidates.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles, including the Agentic ML Engineer position. Don’t just rely on job boards; applying directly can give you an edge and show your genuine interest in joining our team.
We think you need these skills to ace Agentic ML Engineer (Remote) in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. We want to see how you've engaged in feature engineering and embedded ML into workflows, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI decisioning systems and how your skills align with our needs. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve explainable and auditable models.
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!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI decisioning systems and feature engineering. Be ready to discuss how you've applied machine learning in previous projects, especially in agent-based workflows. This will show that you understand the core responsibilities of the role.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with machine learning models. Practise explaining complex concepts in a simple way, as being able to communicate your ideas clearly is crucial for ensuring models are explainable and auditable.
✨Showcase Your Problem-Solving Skills
Think of examples where you've tackled challenges in AI or machine learning. Be prepared to discuss how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your ability to drive demands forecasting and systematic decision-making.
✨Emphasise Flexibility and Remote Work Experience
Since this role offers remote and flexible working, highlight any previous experience you have in similar environments. Discuss how you manage your time and stay productive while working remotely, as this will reassure them that you're a good fit for their UK-wide initiative.