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For Companies At a Glance
- Tasks: Design and test machine learning models while gaining hands-on experience.
- Company: Join Matillion, a leading cloud-native data integration company with a collaborative culture.
- Benefits: Enjoy hybrid working, 30 days holiday, private medical insurance, and regular team socials.
- Why this job: Kickstart your AI career with real projects and mentorship in a fast-paced tech environment.
- Qualifications: A-levels in relevant subjects or equivalent experience; passion for AI and problem-solving required.
- Other info: Potential for a permanent role after successful completion of the apprenticeship.
Job Description
Employer description:
Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco, Slack, and TUI in turning data into actionable insight. Recognized as a great place to work in both the UK and US, Matillion fosters a culture of collaboration, innovation, and customer focus. We’re proud to be driving the future of data with cutting-edge technology and a passionate team.
Overview:
Ready to kickstart your career in machine learning and AI? Join Matillion as an AI Engineer Apprentice and gain hands-on experience building real AI solutions while learning on the job. You’ll be part of our supportive Enterprise Data team, where you’ll work on exciting projects, learn from experienced mentors, and grow your skills in a fast-paced tech environment. This apprenticeship offers a unique opportunity to combine learning with real-world experience in one of the most in-demand areas of tech.
Responsibilities:
- Design, prototype, and test machine learning models.
- Run experiments to improve performance of AI systems and large language models.
- Help build and manage tools for evaluating and deploying AI solutions.
- Monitor and support production AI systems to ensure they run smoothly.
- Work with teams across the business to align AI projects with real-world goals.
- Stay up to date with AI trends and contribute fresh ideas.
Desirable skills:
- Some experience or knowledge in software, data, or tech-related fields.
- Python skills and interest in machine learning tools and frameworks.
- Curious about large language models (LLMs), prompt engineering, or AI evaluation.
- Any exposure to cloud tools or MLOps is a bonus.
- Eager to learn and grow in a fast-paced tech role.
- Great communicator and team player.
- Strong problem-solving and attention to detail.
- Open to feedback and new ideas.
- Passionate about AI, data, and innovation.
Entry requirements:
Acceptable qualifications include any of:
- Two A-levels in one or more similar subject plus B in A-Level maths.
- Two A-levels in one or more similar subject plus 2-years work experience in tech.
- Level 4 or 5 apprenticeship in a similar technical subject.**
- International Baccalaureate at Level 3 in a similar subject.
- 3+ years in a similar subject-related role.
- A first degree in a numerate discipline (but excluding Computer Science as not fundable).
You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.
If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.
For more information please visit the UK ENIC website.
Working hours:
37.5 hours per week, Monday to Friday, 9am – 5.30pm.
Benefits:
- Learn while you earn — full support from the Data team and expert mentors.
- Hybrid working.
- 30 days holiday plus bank holidays.
- Private medical insurance (BUPA).
- 5 paid volunteering days per year.
- Free catered lunch every Wednesday.
- Regular team socials, happy hours, and quizzes.
Future prospects:A chance to move into a permanent role at Matillion after successful completion of the apprenticeship.
About QA:
Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.
Interested? Apply now!
AI Engineer Apprentice employer: QA
Contact Detail:
QA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Apprentice
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Follow industry leaders on social media, read relevant blogs, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI and tech community. Attend meetups, webinars, or workshops related to AI and machine learning. Building connections can lead to valuable insights and potential referrals for the apprenticeship at Matillion.
✨Tip Number 3
Get hands-on experience with Python and machine learning frameworks. Work on personal projects or contribute to open-source projects to showcase your skills. This practical experience will make you stand out as a candidate who is ready to learn and grow.
✨Tip Number 4
Prepare for potential technical interviews by practising coding challenges and problem-solving exercises. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and demonstrate your readiness for the role.
We think you need these skills to ace AI Engineer Apprentice
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the AI Engineer Apprentice position at Matillion. Familiarise yourself with machine learning concepts and the tools mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience or knowledge in software, data, or tech-related fields. Emphasise any Python skills, interest in machine learning, and any exposure to cloud tools or MLOps.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data. Mention specific projects or experiences that demonstrate your problem-solving skills and eagerness to learn. Make sure to align your goals with Matillion's mission.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is accurate and complete. A polished application reflects your attention to detail.
How to prepare for a job interview at QA
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and machine learning during the interview. Share any personal projects or experiences that demonstrate your interest in these fields, as this will show the interviewer that you're genuinely excited about the role.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled challenges in the past. Highlight your analytical thinking and problem-solving abilities, especially in tech-related scenarios, as this is crucial for an AI Engineer Apprentice.
✨Familiarise Yourself with Relevant Tools
Brush up on your knowledge of Python and any machine learning frameworks you might have used. Being able to discuss these tools confidently will impress the interviewers and show that you're ready to hit the ground running.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, team dynamics, and the specific projects you might be working on. This not only shows your interest in the role but also helps you determine if Matillion is the right fit for you.
