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- Tasks: Design and develop AI solutions to enhance learning experiences.
- Company: Leading academic publisher in the UK with a focus on innovation.
- Benefits: Competitive salary, 28 days annual leave, and private medical insurance.
- Why this job: Join a mission to revolutionise education through AI technology.
- Qualifications: Master's or PhD in a relevant field and industry experience required.
- Other info: Hybrid role in Cambridge with opportunities for mentorship and growth.
The predicted salary is between 64490 - 86255 £ per year.
A leading academic publisher in the UK is looking for a Senior Machine Learning Research Engineer to advance AI-powered learning solutions. This permanent role involves designing full-cycle AI solutions, collaborating with cross-functional teams, and mentoring junior members.
The position offers a competitive salary between £64,490 and £86,255, alongside various benefits including 28 days of annual leave and private medical insurance.
The ideal candidate will have a Master's or PhD in a relevant field and significant industry experience.
Lead AI Research Engineer for Education (Hybrid, Cambridge) employer: Cambridge University Press
Contact Detail:
Cambridge University Press Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Research Engineer for Education (Hybrid, Cambridge)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your AI solutions and research work. This will give you an edge during interviews and show that you’re not just talk but can deliver results.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your machine learning concepts and coding skills. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance at landing that dream role. Plus, it’s super easy!
We think you need these skills to ace Lead AI Research Engineer for Education (Hybrid, Cambridge)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Research Engineer role. Highlight your relevant experience in machine learning and any projects that showcase your skills in designing AI solutions. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in education and how your background makes you a perfect fit for this role. Let us know what excites you about working with StudySmarter.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, be sure to mention any experiences where you've successfully collaborated with others. We love team players who can bring diverse perspectives to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Cambridge University Press
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your previous projects and how they relate to educational solutions, as this will show your passion and expertise in the field.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight any mentoring experiences too, as this will demonstrate your leadership potential and ability to guide junior members.
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving skills and understanding of AI algorithms. Practise explaining complex concepts in simple terms, as this will be crucial when discussing your ideas with non-technical team members.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company’s vision for AI in education. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
