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For Companies At a Glance
- Tasks: Learn and apply machine learning skills while collaborating with experts in the field.
- Company: Leading tech company in Scotland with a focus on innovation.
- Benefits: Competitive salary, health insurance, life insurance, and pension plan.
- Why this job: Kickstart your career in machine learning and gain hands-on experience.
- Qualifications: Coding skills, basic ML knowledge, and a passion for learning.
- Other info: Join a dynamic team and grow your career in a thriving industry.
The predicted salary is between 22000 - 25000 £ per year.
A leading technology company in Scotland is offering a Level 6 Machine Learning Apprenticeship. This role focuses on developing skills in the entire machine learning lifecycle while collaborating with data scientists and software engineers.
The competitive salary ranges from £22,000 to £25,000 and includes a generous benefits package, such as health and life insurance and a pension plan.
Candidates should possess coding skills, a basic understanding of ML, and a strong desire to learn.
Machine Learning Apprentice: Build, Deploy & Learn in London employer: Domino Sweden
Contact Detail:
Domino Sweden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Apprentice: Build, Deploy & Learn in London
✨Tip Number 1
Network like a pro! Reach out to current or former apprentices in the field. They can give you insider tips and might even refer you to opportunities that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects or any machine learning models you've worked on. 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 maybe even do some mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the Machine Learning Apprenticeship, so take advantage of it and get your application in!
We think you need these skills to ace Machine Learning Apprentice: Build, Deploy & Learn in London
Some tips for your application 🫡
Show Off Your Coding Skills: Make sure to highlight your coding skills in your application. We want to see what languages you’re comfortable with and any projects you've worked on. This is your chance to impress us with your technical abilities!
Demonstrate Your Passion for Machine Learning: Let us know why you're excited about machine learning! Share any relevant experiences or projects that sparked your interest. We love seeing candidates who are genuinely eager to learn and grow in this field.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role. Mention specific aspects of the job description that resonate with you and how your skills align with our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Domino Sweden
✨Know Your ML Basics
Brush up on your fundamental machine learning concepts. Be ready to discuss algorithms, data preprocessing, and model evaluation metrics. This shows your enthusiasm and foundational knowledge, which is crucial for the role.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. Familiarise yourself with Python or any relevant programming languages. You might be asked to solve a coding challenge, so practice common problems beforehand.
✨Ask Insightful Questions
Prepare thoughtful questions about the apprenticeship and the company’s projects. This not only shows your interest but also helps you gauge if the role aligns with your career goals. Think about what you want to learn and how you can contribute.
✨Highlight Your Learning Mindset
Emphasise your eagerness to learn and grow in the field of machine learning. Share examples of how you've tackled challenges or acquired new skills in the past. Companies love candidates who are proactive about their development!
