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- Tasks: Develop and optimise cutting-edge Machine Learning models to transform global education.
- Company: Join a leading global educational technology company with a mission to make a difference.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Make a meaningful impact on education while working with innovative technologies.
- Qualifications: Master's or PhD in a relevant field and 5+ years of industry experience required.
- Other info: Collaborative environment with a focus on addressing real-world challenges.
The predicted salary is between 48000 - 72000 £ per year.
A global educational technology company is seeking a Senior Machine Learning Scientist for a remote role. The candidate will develop and optimize production-grade Machine Learning models and work collaboratively with various teams to address challenges.
A Master's or PhD in a relevant field and at least 5 years of industry experience are required. The ideal candidate should possess strong skills in Deep Learning and Software Engineering, along with a deep understanding of Machine Learning mathematics, and have experience in academic research.
Join us to make a meaningful impact on global education.
Senior ML Scientist, Applied Research (Remote UK) in Newcastle upon Tyne employer: Turnitin, LLC
Contact Detail:
Turnitin, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist, Applied Research (Remote UK) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Machine Learning projects. This could be anything from GitHub repositories to blog posts explaining your work. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common ML questions and coding challenges. We recommend doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Scientist, Applied Research (Remote UK) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Deep Learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about educational technology and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Research Experience: Since we value academic research, make sure to include any relevant publications or projects. Highlighting your contributions will help us understand your depth of knowledge and expertise in the field.
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 Turnitin, LLC
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various Machine Learning models in detail. Be prepared to explain how you've developed and optimised production-grade models in the past, as well as the challenges you faced and how you overcame them.
✨Brush Up on Deep Learning and Software Engineering
Since strong skills in Deep Learning and Software Engineering are crucial for this role, review key concepts and be ready to demonstrate your knowledge. You might be asked to solve a coding problem or discuss algorithms, so practice coding challenges relevant to ML.
✨Showcase Your Research Experience
With a background in academic research being important, prepare to talk about your research projects. Highlight any publications or presentations you've done, and be ready to discuss how your research can translate into practical applications in the educational technology space.
✨Collaborative Mindset is Key
This role involves working with various teams, so emphasise your collaborative experiences. Share examples of how you've successfully worked with cross-functional teams to tackle challenges, and demonstrate your ability to communicate complex ideas clearly to non-technical stakeholders.