At a Glance
- Tasks: Apply AI to educational assessment and develop machine learning capabilities.
- Company: Join AQA's innovative Education AI Lab in Manchester or Milton Keynes.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
- Other info: Collaborate with experts across the full ML lifecycle in a dynamic environment.
- Why this job: Make a real difference in education by enhancing automated marking and learner support.
- Qualifications: Passion for machine learning and teamwork skills are essential.
The predicted salary is between 30000 - 40000 £ per year.
AQA is seeking a junior machine learning engineer to apply AI to educational assessment. You will join the in‑house AI for assessment lab to research, test and productionise ML capabilities for automated marking, feedback and learner support.
Based in Manchester or Milton Keynes with a hybrid work model (two days in the office), you will work with AI researchers, software engineers, product teams and psychometricians across the full ML lifecycle, from data ingestion to deployment.
Applied ML Engineer, Education AI Lab in Manchester employer: AQA Recruiting
AQA Recruiting is an excellent employer, offering a dynamic work environment in Guildford where innovation meets collaboration. With a strong focus on employee growth, you will have access to professional development opportunities and a supportive culture that values your contributions. Enjoy competitive benefits such as generous annual leave, private medical insurance, and a robust pension scheme, making this role not just a job, but a meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer, Education AI Lab in Manchester
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We think you need these skills to ace Applied ML Engineer, Education AI Lab in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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