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For Companies At a Glance
- Tasks: Master the ML lifecycle and collaborate on innovative AI solutions.
- Company: Join Domino Printing Sciences, a leader in sustainable packaging technology.
- Benefits: Enjoy 25 days holiday, medical insurance, and a generous pension plan.
- Why this job: Dive into AI/ML and make a real impact in a dynamic environment.
- Qualifications: Experience in Python and basic ML knowledge preferred.
- Other info: Gain exposure through team rotations and excellent career growth opportunities.
The predicted salary is between 800 - 1400 £ per month.
About the Role
The Machine Learning (ML) Engineer apprenticeship follows an external training programme that develops skills to master the entire ML lifecycle—from data preparation to monitoring of deployed AI solutions. It sits within our Data Platform team in R&D, where you will work alongside data scientists, software engineers, and DevOps engineers to design, build, and deploy machine learning solutions. This role is ideal for candidates who wish to link data science, software engineering, and DevOps to deploy secure, maintainable ML solutions that solve complex business problems.
There are two entry pathways:
- Level 6 ML Engineer Apprenticeship for those with sufficient data science/ML knowledge
- An option to first complete our Level 4 Data Analyst Apprenticeship, which builds competence in Python, data visualization, and databases. Upon successful completion of Level 4, you progress to the Level 6 ML Engineering role.
Both routes include rotations across teams, offering exposure to a broad range of projects and expertise.
About You
Domino values diversity and is an equal‑opportunity employer. We welcome applications from all candidates; however, only those eligible to work in the UK without the need for additional immigration documentation will be considered for this position.
Skills for Direct to Level 6:
- Experience with coding languages (preferably Python)
- Familiarity with SQL and databases
- Basic understanding of Machine Learning
- Familiarity with data science/analysis tools and practice
Attributes:
- Self‑motivation to learn and develop
- Strong communication skills
- Strong interest in AI/ML use in industry
- Able to manage own time and work independently as well as with others
What You Can Expect
As a talented individual working at Domino, you can expect a competitive salary and a generous benefits package, including:
- 25 days of basic holiday, with options to buy or sell additional days
- A discretionary bonus scheme that rewards hard work and dedication
- Life insurance for you and your loved ones
- Medical insurance with the option of purchasing a health cash plan, dental, travel, and cycle‑to‑work schemes
- A green car scheme for a more environmentally friendly commute
- A pension plan, starting with an 8% employer contribution
About Us
At Domino Printing Sciences we do more than just provide cutting‑edge variable data printing technology—we revolutionise how manufacturers embrace sustainable packaging and spearhead advances in coding automation. Our long‑standing expertise helps the world’s leading brands succeed while fostering a collaborative, dynamic, and welcoming environment where everyone can flourish.
Due to the nature of this role, the successful candidate will need to complete a health assessment.
Machine Learning Apprenticeship in Scotland employer: Domino Digital Printing Solutions - India
Contact Detail:
Domino Digital Printing Solutions - India Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Apprenticeship in Scotland
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, especially those in the Data Platform team. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! If you've got any projects or GitHub repos showcasing your Python or ML work, make sure to mention them during interviews. We love seeing practical examples of your abilities!
✨Tip Number 3
Prepare for technical questions! Brush up on your coding skills and be ready to discuss machine learning concepts. We want to see your thought process, so don’t hesitate to talk through your problem-solving approach.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Domino.
We think you need these skills to ace Machine Learning Apprenticeship in Scotland
Some tips for your application 🫡
Show Your Passion for ML: Let us see your enthusiasm for machine learning! In your application, mention any projects or experiences that sparked your interest in AI/ML. We love candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your coding skills, especially in Python, and any relevant experience with data science tools. We want to see how you fit into our team!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon. We appreciate candidates who can communicate their ideas effectively, so make sure your application reflects that!
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 the role. We can’t wait to hear from you!
How to prepare for a job interview at Domino Digital Printing Solutions - India
✨Know Your Tech
Make sure you brush up on your coding skills, especially in Python and SQL. Familiarity with machine learning concepts will give you a solid foundation to discuss during the interview. Be ready to share examples of projects or experiences where you've applied these skills.
✨Show Your Passion for AI/ML
Demonstrate your genuine interest in AI and machine learning. Talk about recent trends, projects, or innovations in the field that excite you. This shows that you're not just looking for a job, but that you're eager to contribute to the industry.
✨Prepare for Teamwork Questions
Since you'll be working alongside data scientists, software engineers, and DevOps engineers, be prepared to discuss your experience in collaborative environments. Think of examples where you've successfully worked in a team, highlighting your communication skills and ability to manage your time effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the projects you might work on, the team dynamics, or the training programme. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
