As a Machine Learning Engineer, you will design and deploy sophisticated models that power personalized user experiences within a high-growth social ecosystem. You will bridge the gap between data science and production, building scalable ML pipelines and optimizing recommendation algorithms to drive engagement for a global community of users.
Machine Learning Engineer at innovative AI-driven social platform
Are you ready to build the future of digital connection? We are looking for a Machine Learning Engineer to join a well-funded AI-driven social platform in London. You will have the unique opportunity to design and scale production-grade ML models that directly influence how millions of users interact, working alongside a world-class team in a fast-paced, high-impact environment.
About this role
Role overview
About the company
About the company
Innovative AI-driven social platform
What you'll do
What you will do
- Develop and maintain end-to-end ML pipelines for recommendation systems and user behavior prediction.
- Collaborate with product and engineering teams to integrate AI features into the core mobile experience.
- Optimize model performance and latency to ensure high-quality, real-time responses at scale.
Who you are
Who this is a fit for
- Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Proven experience deploying ML models into production environments within a cloud-native infrastructure.
- Solid understanding of natural language processing or recommendation engine design principles.
Why this role
Why this role is remarkable
- Work at the intersection of cutting-edge generative AI and social networking to redefine digital connection.
- Join a well-funded, fast-growing startup backed by top-tier VCs with significant market traction.
- Influence the core product architecture and see your algorithms impact millions of real-time interactions daily.
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