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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 54400 - 74800 £ 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 Stondon 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 Stondon
✨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 that interview, having tangible examples of your work can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for 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 Stondon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Research Engineer role. Highlight your relevant experience and skills that align with AI and machine learning. We want to see how you can contribute to our innovative Applied AI team!
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 makes you a perfect fit for us. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any exciting machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
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 don’t miss out on any important updates. Let’s get started on this journey together!
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 within the role.
✨Familiarise Yourself with Cambridge's Products
Take some time to explore Cambridge University Press & Assessment’s offerings. Understanding their products will help you articulate how your skills can contribute to their success and align with their mission of enhancing learning through AI.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest but also helps you gauge if the environment is the right fit for you. Remember, interviews are a two-way street!
