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- Tasks: Drive innovation in AI by developing and maintaining cutting-edge machine learning solutions.
- Company: Join Cambridge University Press & Assessment, a leader in academic publishing and assessment.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape the future of AI in education and make a real impact on learners worldwide.
- Qualifications: Experience in machine learning and a passion for advancing AI technologies.
- Other info: Be part of a dynamic team with a commitment to innovation and excellence.
The predicted salary is between 64490 - 86255 £ per year.
Salary: £64,490 - £86,255
Location: Cambridge - Triangle/Hybrid (2 days per week in the office)
Contract: Permanent
Hours: Full Time (35 hours per week)
Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge.
This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You will contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.
About the Role
As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions.
Senior Machine Learning Research Engineer (6840) - Cambridge in Saint Neots employer: Cambridge University Press and Assessment
Contact Detail:
Cambridge University Press and Assessment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Research Engineer (6840) - Cambridge in Saint Neots
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those connected to Cambridge University Press & Assessment. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project showcase that highlights your machine learning expertise. When you get the chance to chat with recruiters, let your work do the talking.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your algorithms and coding skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
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 being part of our innovative team at Cambridge.
We think you need these skills to ace Senior Machine Learning Research Engineer (6840) - Cambridge in Saint Neots
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Research Engineer. Highlight your relevant experience and skills in AI and machine learning, and don’t forget to showcase any projects that demonstrate your innovative thinking.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-powered learning solutions and how your background aligns with our mission at Cambridge University Press & Assessment. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any exciting machine learning projects, make sure to mention them! We love seeing practical examples of your work, so include links to your GitHub or any publications if applicable. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity in our Applied AI team!
How to prepare for a job interview at Cambridge University Press and Assessment
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in machine learning. Be prepared to discuss your previous projects and how they relate to AI-powered learning solutions. This shows your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Practice explaining your thought process clearly and logically. This will demonstrate your analytical skills and ability to innovate, which are crucial for a role in the Applied AI team.
✨Understand the Company’s Vision
Familiarise yourself with Cambridge University Press & Assessment's mission and values. Think about how your skills can contribute to their goals in AI-powered learning. This will help you align your answers with what they’re looking for in a candidate.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely have the chance to ask questions. Prepare insightful ones that show your interest in the role and the company. For example, inquire about the team’s current projects or future directions in AI research.
