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- Tasks: Build and optimise AI models for personalised learning experiences using cutting-edge technologies.
- Company: Join a dynamic Ed-Tech company committed to diversity and innovation.
- Benefits: Enjoy a competitive salary, equity, health insurance, and a learning budget.
- Why this job: Make a real impact on learners worldwide with your AI expertise.
- Qualifications: PhD in NLP or Machine Learning and 4+ years of industry experience required.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 70000 - 90000 ÂŁ per year.
The AI Learning team builds models and systems that power personalized learning paths and real‑time feedback, using multimodal LLMs trained on rich, unstructured data such as video, audio, and transcripts.
Responsibilities:
- Apply deep learning, NLP, LLMs, and multimodal AI to build and optimize scalable machine learning solutions for personalized learning and AI tutors.
- Work on cutting‑edge AI models, contributing to research, prototyping, and deployment in production environments.
- Partner with scientists, engineers, and product teams to deliver AI‑driven solutions that improve learning experiences and business outcomes.
- Support and mentor junior scientists and engineers, fostering an environment of learning and innovation.
- Contribute to machine learning best practices, including model architecture, research methodologies, and deployment pipelines.
Qualifications:
- PhD in NLP, Machine Learning, or a related field (or equivalent experience).
- 4+ years of industry experience, focusing on deep learning‑based NLP applications.
- Strong proficiency in deep learning frameworks such as PyTorch or TensorFlow.
- Hands‑on experience with cloud platforms (e.g., AWS, Google Cloud).
- Ability to drive AI initiatives from research to production in a collaborative environment.
- Strong problem‑solving skills and a track record of building impactful AI solutions.
- Passion for advancing AI‑driven personalized learning experiences.
- Eagerness to work in a fast‑paced, cross‑functional setting to bring AI research into real‑world applications.
- Nice‑to‑have: Experience with LLMs and retrieval‑augmented generation (RAG).
Benefits:
- An open, collaborative, dynamic and diverse culture.
- A generous monthly allowance for lessons on Preply.com, a learning & development budget, and time off for self‑development.
- A competitive financial package with equity, leave allowance and health insurance.
- Access to free mental health support platforms.
- Opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
Diversity, Equity, and Inclusion:
Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed‑Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
Senior Applied AI Scientist (AI Learning) Location: London employer: Preply Inc.
Contact Detail:
Preply Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Scientist (AI Learning) Location: London
✨Network Like a Pro
Get out there and connect with folks in the AI and education tech space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving deep learning and NLP. Share your work on platforms like GitHub to let potential employers see what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your deep learning frameworks and problem-solving skills. Practice explaining your thought process clearly, as collaboration is key in our field. Remember, we want to see how you think!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It shows you're genuinely interested and helps us keep track of your application. Plus, who doesn’t love a straightforward approach?
We think you need these skills to ace Senior Applied AI Scientist (AI Learning) Location: London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Applied AI Scientist role. Highlight your deep learning, NLP, and multimodal AI expertise, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven personalised learning and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any cutting-edge AI models or have experience with LLMs, make sure to include those in your application. We love seeing real-world applications of your skills!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Preply Inc.
✨Know Your AI Stuff
Make sure you brush up on your deep learning, NLP, and LLMs knowledge. Be ready to discuss specific projects you've worked on, especially those involving multimodal AI. This will show that you not only understand the theory but also how to apply it in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves partnering with scientists, engineers, and product teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you mentored junior team members or contributed to a team project, as this will demonstrate your ability to foster a collaborative environment.
✨Prepare for Technical Questions
Expect some technical questions related to model architecture, research methodologies, and deployment pipelines. Practise explaining complex concepts in simple terms, as this will showcase your communication skills and your ability to make AI accessible to others.
✨Align with Their Values
Familiarise yourself with the company's commitment to diversity, equity, and inclusion. Be ready to discuss how your own values align with theirs and how you can contribute to creating an inclusive environment. This will show that you're not just a fit for the role, but also for the company culture.