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For Companies At a Glance
- Tasks: Master the ML lifecycle and deploy AI solutions with a dynamic team.
- Company: Join Domino Printing Sciences, a leader in sustainable packaging and coding automation.
- Benefits: Enjoy 25 days holiday, medical insurance, and a generous pension plan.
- Why this job: Kickstart your career in AI/ML and make a real impact in a collaborative environment.
- Qualifications: Interest in data analysis, coding skills, and a passion for AI/ML.
- Other info: Opportunities for professional growth and networking through the Automate UK apprentice network.
The predicted salary is between 800 - 1400 £ per month.
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.
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 Level 4 Route
- Proficient in using spreadsheets and computer literacy
- Comfortable working with data, maths, algebra
- Keen interest in data analysis and visualisation
- Interest in progressing to ML level 6 apprenticeship
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
- 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.
We are a highly successful company, we’re large enough to offer career development opportunities yet small enough for your contribution to be readily recognised and rewarded.
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. Note: Due to the nature of this role the successful candidate will need to complete a health assessment.
Machine Learning Apprenticeship in Scotland employer: Domino Printing Sciences
Contact Detail:
Domino Printing Sciences 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 foot in the door.
✨Tip Number 2
Show off your skills! If you've worked on any machine learning projects, even personal ones, make sure to discuss them during interviews. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical questions! Brush up on your Python and SQL skills, and be ready to tackle some coding challenges. Practising common ML scenarios can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows 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: When writing your application, let us see your enthusiasm for machine learning! Share any projects or experiences that sparked your interest in the field. We love candidates who are genuinely excited about AI and its potential.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this apprenticeship. Highlight relevant skills like coding in Python or working with data. We want to see how your background aligns with the role, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive your details directly. Plus, it shows you’re keen on joining our team at Domino!
How to prepare for a job interview at Domino Printing Sciences
✨Know Your ML Basics
Before the interview, brush up on your understanding of machine learning concepts. Familiarise yourself with key terms and processes in the ML lifecycle, from data preparation to model deployment. This will help you engage confidently with the interviewers, especially since they’ll be looking for your foundational knowledge.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to discuss your experience with Python and SQL. Bring examples of projects or tasks where you've used these languages. If you’ve worked on any data analysis or visualisation projects, make sure to highlight those as well!
✨Demonstrate Your Passion for Data
Express your enthusiasm for data analysis and machine learning during the interview. Share any personal projects or relevant coursework that showcases your interest. This will show the interviewers that you’re not just looking for a job, but are genuinely excited about the field.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team you'll be working with. Inquire about the types of projects you might work on or how the Data Platform team collaborates with other departments. This shows your interest in the position and helps you assess if it’s the right fit for you.
