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For Companies At a Glance
- Tasks: Join our Data Platform team to design and deploy machine learning solutions.
- Company: Domino Printing Sciences, a leader in sustainable packaging technology.
- Benefits: Competitive salary, 25 days holiday, medical insurance, and pension contributions.
- Why this job: Kickstart your career in AI/ML with hands-on experience and professional growth.
- Qualifications: Experience in coding (preferably Python) and basic ML knowledge.
- Other info: Dynamic environment with opportunities for rotations and skill development.
The predicted salary is between 800 - 1167 £ per month.
Level 6 machine Learning Apprentice Salary Range: £22,000-£25,000
About the Role
The Machine Learning (ML) Engineer apprenticeship follows an external training programme to develop skills across the entire ML lifecycle—from data preparation to monitoring of deployed AI solutions. The role sits within our Data Platform team in R&D, working alongside data scientists, software engineers, and DevOps engineers to design, build, and deploy machine learning solutions using knowledge gained in the training programme. Ideal for candidates who want to link data science, software engineering and DevOps, this apprenticeship focuses on deploying secure, maintainable ML solutions to solve complex business problems. For those with less data science/ML knowledge, progress to the level 6 ML Engineer role can begin with the Level 4 Data Analyst apprenticeship, which builds competence in Python libraries, data visualisation tools, and database work. Upon successful completion, progression to level 6 ML Engineering is available. Both routes offer rotations across teams, providing a broad range of projects and expertise. Apprentices also have the opportunity to join the Automate UK apprentice network to develop professional skills outside 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 requiring additional immigration documentation will be considered.
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 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.
- A discretionary bonus scheme.
- Life insurance.
- Medical insurance with optional health cash plan, dental insurance, travel insurance, and cycle‑to‑work scheme.
- Green card scheme.
- Pension plan starting with 8% employer contributions.
About Us
At Domino Printing Sciences, we provide cutting‑edge variable data printing technology and revolutionise how manufacturers adopt sustainable packaging and coding automation. With a long‑standing presence in the global variable data printing story, our solutions help leading brands achieve sustainability and waste reduction while informing and protecting consumers. We foster a collaborative, dynamic, and welcoming environment where everyone can flourish.
Additional Information
Positions may be at an advanced stage of the recruitment process and can close at any time. The successful candidate will need to complete a health assessment.
Machine Learning Apprenticeship employer: Domino Sweden
Contact Detail:
Domino Sweden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Apprenticeship
✨Tip Number 1
Network like a pro! Reach out to current employees at Domino or in the machine learning field on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨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 help us see your practical experience and passion for the field.
✨Tip Number 3
Prepare for the interview! Brush up on common ML concepts and be ready to discuss how you’d approach real-world problems. We love seeing candidates who can think critically and creatively about AI solutions.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Machine Learning apprenticeship. Highlight any coding experience, especially with Python, and mention any relevant projects or coursework that show your interest in AI/ML.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you see yourself fitting into our Data Platform team. Be genuine and let your enthusiasm for the role come through.
Showcase Your Learning Mindset: We love candidates who are eager to learn! In your application, mention any self-study, online courses, or projects you've undertaken related to data science or machine learning. This shows us you're proactive and ready to grow.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Domino Sweden
✨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.
✨Communicate Clearly
Strong communication skills are key! Practice explaining complex concepts in simple terms. During the interview, make sure to articulate your thoughts clearly and ask questions if you need clarification. This shows that you can work well with others and are keen to collaborate.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about the team dynamics, the types of projects you'll be working on, or opportunities for professional development. This not only shows your interest but also helps you gauge if the company is the right fit for you.
