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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 and coding automation.
- Benefits: Enjoy 25 days holiday, medical insurance, and a competitive salary.
- Why this job: Kickstart your career in AI/ML with hands-on experience and professional growth.
- Qualifications: Coding experience (preferably Python) and a basic understanding of Machine Learning.
- Other info: Dynamic environment with opportunities to rotate across teams and gain diverse skills.
The predicted salary is between 17600 - 20000 £ per year.
Level 6 machine Learning Apprentice
Salary Range £22,000-£25,000
About the role
The Machine Learning (ML) Engineer apprenticeship will follow an external training programme to develop skills to master the entire ML lifecycle from data preparation to monitoring of deployed AI solutions. The role will sit 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 using the knowledge gained in the training programme. This role is well suited to candidates who are interested in developing the skill‑set to provide a link between data science, software engineering and DevOps by deploying secure, maintainable ML solutions to solve complex business problems.
For those with less data science/ML knowledge there is an option to progress to the level 6 ML Engineer role by first undertaking the Level 4 Data Analyst apprenticeship programme. The level 4 programme will build competence in using python libraries, data visualisation tools and working with databases to build data analytics capability. Following successful completion of the level 4 apprenticeship, you will then progress to the level 6 ML Engineering role to further expand your capability.
Both routes will offer rotations to different teams, which will provide a broad range of projects and expertise from different areas of the business. Domino apprentices also have the opportunity to join the Automate UK apprentice network which will provide opportunities to gain professional skills outside of the key focus area.
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.
- 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, plus options to buy or sell additional days, ensuring you have ample time to relax and recharge.
- A discretionary bonus scheme, a testament to your hard work and dedication.
- Life insurance, providing security and peace of mind for you and your loved ones.
- Medical insurance with the option of purchasing a health cash plan, dental insurance, travel insurance and cycle to work scheme, ensuring your health is always a top priority.
- Join our green car scheme, a step towards a more environmentally friendly commute.
- Pension plan, starting with 8% employer contributions.
About Us
At Domino Printing Sciences we do more. Our expertise isn’t just in providing cutting‑edge variable data printing technology; it’s in revolutionising how manufacturers embrace sustainable packaging and spearhead advancements in coding automation. We’ve been a part of the global variable data printing story for a long time, and our solutions help ensure the success of the world’s leading brands. Our goal is to be the leading global variable data printing brand through applying our expertise and reliable solutions to help the world’s manufacturers be sustainable and cut waste, while attracting, informing, and protecting their consumers. But we also know that it’s not just about the work we do—it’s about fostering a collaborative, dynamic and welcoming environment where everyone can flourish, contributing to Domino not only as a pioneer in the industry but also as an exceptional place to work.
Positions may be at an advanced stage of the recruitment process and can close at any time. Due to the nature of this role the successful candidate will need to complete a health assessment.
Machine Learning Apprenticeship in Scotland employer: Domino Group
Contact Detail:
Domino Group 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 employees on LinkedIn or at industry events. Ask them about their experiences and any tips they might have for landing the apprenticeship. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, especially those involving Python or machine learning. This will give you an edge and demonstrate your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you think, not just what you know!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Domino. Don’t miss out on this opportunity!
We think you need these skills to ace Machine Learning Apprenticeship in Scotland
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let us see your enthusiasm for machine learning! Share any projects or experiences that sparked your interest in AI and how you envision using it in the industry.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant skills like coding in Python, familiarity with SQL, and any experience with data science tools. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this apprenticeship and how you can contribute to our Data Platform team. Keep it engaging and personal—let us get to know you!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining the Domino family. We can't wait to hear from you!
How to prepare for a job interview at Domino Group
✨Know Your Tech
Brush up on your coding skills, especially in Python and SQL. Be ready to discuss any projects you've worked on that involved these languages, as well as your understanding of machine learning concepts. This will show your technical prowess and genuine interest in the role.
✨Show Your Passion for AI/ML
Demonstrate your enthusiasm for artificial intelligence and machine learning during the interview. Share any relevant experiences or projects, even if they are personal or academic. This will help you connect with the interviewers and show that you're eager to learn and grow in this field.
✨Prepare Questions
Have a list of thoughtful questions ready to ask your interviewers. Inquire about the team dynamics, the types of projects you'll be working on, and how the apprenticeship can help you develop your skills. This shows that you're proactive and genuinely interested in the opportunity.
✨Highlight Your Soft Skills
While technical skills are crucial, don't forget to showcase your communication and time management abilities. Provide examples of how you've worked independently and collaboratively in the past. This will demonstrate that you can thrive in a team environment and manage your own workload effectively.
