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- Tasks: Learn to develop and deploy machine learning solutions in a structured training programme.
- Company: Leading technology apprenticeship provider in the UK with a focus on real-world AI impact.
- Benefits: Starting salary of £22,000-£25,000, medical insurance, and pension plan.
- Why this job: Kickstart your career in machine learning and make a real impact in AI.
- Qualifications: No prior experience required, just a passion for technology and learning.
- Other info: Collaborate with data scientists and engineers in a dynamic environment.
The predicted salary is between 22000 - 25000 £ per year.
A leading technology apprenticeship provider in the UK is seeking a Level 6 Machine Learning Apprentice. The successful candidate will engage in a structured training program, learning to develop and deploy machine learning solutions. This role involves collaboration with data scientists and engineers, and offers a starting salary of £22,000-£25,000 along with generous benefits such as medical insurance and a pension plan. This position is perfect for those aspiring to kickstart their career in machine learning and AI.
ML Engineer Apprentice — Rotations, Real-World AI Impact in Scotland employer: Domino Group
Contact Detail:
Domino Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer Apprentice — Rotations, Real-World AI Impact in Scotland
✨Tip Number 1
Network like a pro! Reach out to current or past apprentices in the field. They can give you insider tips and maybe even refer you to opportunities that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, especially those related to machine learning. This will help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for the right apprenticeship. Plus, you'll be one step closer to landing that dream role in AI!
We think you need these skills to ace ML Engineer Apprentice — Rotations, Real-World AI Impact in Scotland
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for machine learning and AI. Share any projects or experiences that sparked your interest in this field – it’ll help us understand why you’re the perfect fit!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight relevant skills and experiences that align with the job description, so we can easily see how you’d contribute to our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and long-winded explanations. Make it easy for us to read and understand your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Domino Group
✨Know Your ML Basics
Before the interview, brush up on your machine learning fundamentals. Understand key concepts like supervised vs unsupervised learning, common algorithms, and how to evaluate model performance. This will show your enthusiasm and readiness for the role.
✨Showcase Your Projects
If you've worked on any machine learning projects, be ready to discuss them. Highlight your role, the challenges you faced, and the solutions you implemented. This practical experience can set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the apprenticeship programme and the team you'll be working with. This demonstrates your genuine interest in the position and helps you assess if it's the right fit for you.
✨Practice Collaborative Scenarios
Since this role involves collaboration with data scientists and engineers, think of examples where you've successfully worked in a team. Be ready to discuss how you handle feedback and contribute to group projects, as teamwork is key in this field.
