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- Tasks: Join us to develop AI-driven personalised education content and enhance our innovative learning platform.
- Company: Medly is revolutionising education with AI, backed by top partners like UCL, Microsoft, and Google.
- Benefits: Enjoy a high-paying graduate role, flexible work options, and the chance to make a real impact.
- Why this job: Be part of a mission to improve educational equity while working with cutting-edge technology in a dynamic team.
- Qualifications: 1st class BSc in Machine Learning or related field; 2+ years of AI system development experience required.
- Other info: Commute to Kings Cross office 4 days a week, with Wednesdays remote.
The predicted salary is between 36000 - 60000 £ per year.
About Medly
We are on a mission to change education forever. We have created a Webapp for serious study where we recently ran the first ever national GCSE Mocks, all autonomously proctored and marked by AI. Backed by impact-focused venture funds and supported by partners including UCL, Innovate UK, Microsoft, and Google, we are scaling rapidly to become the go-to AI tutor and assessment platform for all major exams worldwide.
The Role
We are seeking an exceptional upcoming graduate/postgraduate AI/ML Engineer to join our innovative team and help shape the future of personalised education. You will work to create personalised content for students to optimise their examination performance.
- Develop and optimise strategies for validating high-quality educational content including videos, diagrams, and interactive materials.
- Enhance our proprietary architecture which combines teaching theory, neuroscience, and AI to create personalised learning experiences.
- Collaborate with our education team to ensure content alignment.
- Improve our language analysis and progress tracking LLMs to better assess student understanding.
- Work closely with the full-stack development team to integrate AI solutions into our platform.
Minimum Requirements:
- 1st class BSc from a Russell Group university in Machine Learning, Computer Science, or a related field.
- 2+ years of hands-on experience developing and optimising production-grade AI systems, particularly with transformer-based architectures.
- Impeccable history of academic achievement within secondary education.
- Deep expertise in fine-tuning and optimising multi-LLM architectures with measurable performance improvements.
- Experience building AI systems that maintain scientific accuracy while generating educational content at scale.
- Published research or significant contributions to open-source projects related to educational AI or personalised learning systems.
- Demonstrated ability to balance theoretical AI knowledge with practical implementation in user-facing applications.
- Experience developing robust evaluation frameworks to measure AI accuracy, particularly in educational contexts.
- Strong understanding of the latest advancements in multimodal AI models for generating visual, textual, and interactive content.
- Able to commute 4 out of 5 days a week to our office in Kings Cross, with Wednesday being work from home.
Led by founders who are medical doctors with firsthand experience of educational inequalities, we are passionate about truly changing the industry. Make a genuine impact on educational equity and help transform students' lives. Work with cutting-edge AI technology in a fast-growing startup environment. Collaborative team led by founders with medical and neuroscience backgrounds. High paying graduate entry role.
Machine Learning & AI Engineer employer: Medly AI
Contact Detail:
Medly AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning & AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in the context of education. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase any relevant projects or research you've done in educational AI or personalised learning systems. Be prepared to discuss your contributions and the impact they had, as this will demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Network with professionals in the AI and education sectors. Attend industry events, webinars, or meetups to connect with like-minded individuals and potentially gain insights into the company culture at Medly.
✨Tip Number 4
Prepare to discuss how you would approach developing and optimising AI systems for educational content. Think about specific strategies you could implement and be ready to share your ideas during the interview process.
We think you need these skills to ace Machine Learning & AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and Machine Learning. Focus on projects or roles where you've developed or optimised AI systems, especially those involving transformer-based architectures.
Craft a Compelling Cover Letter: In your cover letter, express your passion for personalised education and how your skills align with Medly's mission. Mention any specific projects or research that demonstrate your expertise in educational AI.
Showcase Your Achievements: Include any published research or contributions to open-source projects related to educational AI in your application. This will help demonstrate your commitment and expertise in the field.
Highlight Collaboration Skills: Since the role involves working closely with various teams, emphasise your ability to collaborate effectively. Provide examples of past experiences where you worked in a team to achieve a common goal, particularly in tech or educational settings.
How to prepare for a job interview at Medly AI
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AI systems, particularly transformer-based architectures. Bring examples of projects you've worked on, especially those that demonstrate your ability to optimise and fine-tune multi-LLM architectures.
✨Demonstrate Your Passion for Education
Since the role focuses on personalised education, express your enthusiasm for using AI to improve learning outcomes. Share any relevant experiences or insights you have about educational inequalities and how technology can bridge those gaps.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially with cross-functional teams like education and full-stack development. Think of examples where you've successfully worked with others to achieve a common goal, particularly in an educational context.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in multimodal AI models and their applications in education. Being able to discuss current trends and how they could be integrated into the company's platform will show your commitment to staying at the forefront of the field.
