Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI innovation and develop scalable solutions for education.
- Company: Prominent academic publisher committed to diversity and inclusion.
- Benefits: Competitive salary, generous leave, and flexible hybrid working model.
- Why this job: Make a real impact in education through cutting-edge AI technology.
- Qualifications: Master's or PhD in relevant field with production experience.
The predicted salary is between 43200 - 72000 £ per year.
A prominent academic publisher is seeking a Senior Machine Learning Research Engineer to lead AI innovation. This role involves developing scalable AI solutions and collaborating with various teams. The successful candidate will have a Master's or PhD in a relevant field, and substantial experience in production environments.
Benefits include competitive salaries, generous leave, and a flexible hybrid working model, emphasizing the company's commitment to diversity and inclusion.
Lead ML Research Engineer - AI for Education Solutions in Cambridge employer: Machine Learning Jobs UK
Contact Detail:
Machine Learning Jobs UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Research Engineer - AI for Education Solutions in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and education sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common questions for ML roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in machine learning. Include case studies, GitHub links, or even a personal website to demonstrate your skills and experience.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like the Lead ML Research Engineer. Plus, it shows you're genuinely interested in joining our team and contributing to AI innovation in education.
We think you need these skills to ace Lead ML Research Engineer - AI for Education Solutions in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
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 the perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing how you can work well with others to drive innovation!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Machine Learning Jobs UK
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to education solutions. Be ready to discuss your past projects and how they relate to scalable AI applications.
✨Showcase Collaboration Skills
Since this role involves working with various teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Review key concepts in machine learning and be prepared to solve problems on the spot. Practising coding challenges or discussing algorithms can help you feel more confident.
✨Emphasise Diversity and Inclusion
This company values diversity and inclusion, so think about how you can contribute to that culture. Prepare to discuss your experiences and perspectives on fostering an inclusive environment in tech.
