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For Companies At a Glance
- Tasks: Develop machine learning solutions and collaborate with data scientists and engineers.
- Company: Join Domino Printing Sciences, a leader in sustainable printing technology.
- Benefits: Enjoy a competitive salary, generous holiday, and comprehensive health benefits.
- Why this job: Kickstart your career in AI/ML and make a real impact on innovative projects.
- Qualifications: Experience with coding (preferably Python) and a basic understanding of machine learning.
- Other info: Dynamic environment with opportunities for professional growth and networking.
The predicted salary is between 800 - 1000 £ per month.
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 in London employer: Domino Sweden
Contact Detail:
Domino Sweden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Apprenticeship in London
✨Tip Number 1
Network like a pro! Reach out to current or former apprentices in the field, especially those at Domino. They can give you insider tips and maybe even put in a good word for you.
✨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 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 coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to 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.
We think you need these skills to ace Machine Learning Apprenticeship in London
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 projects or coursework related to data science or machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and ML, and explain why you want to join our team at StudySmarter. Be genuine and let your personality come through!
Showcase Your Learning Mindset: We love candidates who are eager to learn! In your application, mention any self-study, online courses, or relevant projects you've undertaken. This shows us you're proactive and ready to dive into the apprenticeship.
Apply Through Our Website: To make sure your application gets to us directly, apply through our website. It’s the best way to ensure we see your application and can consider you 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.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers about the role, the team, and the company culture. This not only shows your interest but also helps you determine if the apprenticeship is the right fit for you. Think about what you want to learn and how you can contribute.
✨Practice Communication Skills
Since strong communication skills are essential for this role, practice explaining complex concepts in simple terms. You might be asked to describe a machine learning project or a coding challenge, so being clear and concise will make a great impression.
