At a Glance
- Tasks: Blend research and engineering to tackle educational challenges with AI.
- Company: AQA, a leader in education assessment, based in Manchester.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for growth.
- Other info: Dynamic team environment with exposure to the full ML lifecycle.
- Why this job: Make a real difference in education while working with cutting-edge AI technology.
- Qualifications: Passion for machine learning and a collaborative spirit.
The predicted salary is between 70000 - 90000 £ per year.
AQA is seeking a junior machine learning engineer for its in-house AI for assessment lab in Manchester.
The role blends research with practical engineering to apply AI to educational challenges, including automated marking, feedback generation and learner support.
You will work with researchers, software developers, psychometricians and product teams, gaining exposure to the full ML lifecycle from data prep to deployment in a hybrid setting.
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Hybrid ML Engineer — Education AI, Early-Career in Manchester employer: AQA
AQA is an exceptional employer located in Manchester, offering a dynamic work environment where education specialists can thrive. With a strong focus on employee well-being, we provide generous benefits such as 25 days of annual leave and private medical insurance, alongside a hybrid working model that promotes work-life balance. Our commitment to professional development and community engagement ensures that you will have meaningful opportunities to grow and make a positive impact in the education sector.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid ML Engineer — Education AI, Early-Career in Manchester
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We think you need these skills to ace Hybrid ML Engineer — Education AI, Early-Career in Manchester
Some tips for your application 🫡
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AQA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
