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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 Fairfield 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 Fairfield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those connected to Cambridge University Press & Assessment. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or personal projects, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common machine learning scenarios and be ready to discuss how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to 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 joining our team at Cambridge.
We think you need these skills to ace Senior Machine Learning Research Engineer (6840) - Cambridge in Fairfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Research Engineer role. Highlight relevant experience and skills that align with AI and machine learning, as we want to see how you can contribute to our innovative team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI-powered learning solutions and how your background makes you a perfect fit for our team at Cambridge University Press & Assessment.
Showcase Your Projects: If you've worked on any exciting machine learning projects, make sure to showcase them in your application. We love seeing practical examples of your work and how you've applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity to shape the future of AI-powered learning.
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 will show 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 ability to think critically and innovate, which is key for a role in the Applied AI team.
✨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.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with insightful questions about the team, projects, and company culture. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you.
