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- Tasks: Develop and maintain cutting-edge AI solutions for educational products.
- Company: Join Cambridge University Press & Assessment, a leader in academic publishing.
- 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.
- Qualifications: Experience in machine learning and a passion for innovation.
- Other info: Collaborative environment with a focus on advancing AI technology.
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 Castle Hedingham 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 Castle Hedingham
✨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 Castle Hedingham
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 or descriptions that highlight your contributions and the impact they had.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
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, be ready to tackle hypothetical scenarios or case studies. Think about how you would approach a problem using machine learning techniques. This will demonstrate your analytical thinking and practical application of your skills.
✨Familiarise Yourself with Cambridge's Products
Take some time to explore Cambridge University Press & Assessment’s offerings. Understanding their products and how AI can enhance them will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and future directions of the AI initiatives at Cambridge. This not only shows your enthusiasm but also helps you gauge if the company culture and vision align with your career aspirations.
