Senior Machine Learning Engineer
London
Tilt
Discover emerging fashion, unlock rare collectibles, and shop through videos + live streams with friends.Our mission is to make fashion accessible to all and inspire everyone to dress a little better. We believe e-commerce is in a rut, with brands lost in a decades-long void, lacking innovation, and mindlessly redesigning websites without fixing the real issue — making shopping fun and affordable.
Today, we are the UK's biggest live shopping platform focused on making shopping a joyful, social experience that brings people together and helps everyone level up their style. We're growing fast and hiring innovative problem solvers to build the future of shopping.
Your Mission 🫵We’re hiring a Senior Machine Learning Engineer to join drive AI/ML initiatives at Tilt. This is a hands-on role where you'll be directly contributing to building and scaling AI at Tilt while providing guidance and technical mentorship to the team. This is not a management or research position.
What You'll Do 👷Design, develop and deploy the first-of-their-kind AI-driven features for e-commerce—from scratch
Work closely with product, engineering, and design teams to identify and execute high-impact features
Build robust, scalable infrastructure for AI at Tilt
Dig deep into existing products, develop plans for improvement and collaborate with the team to execute
You must be an ambitious, curious, relentless and no ego problem-solver excited to build the future of shopping. Additionally:
Experience taking ML systems from 0 to 1 to large-scale, serving millions of users (LLMs, rec sys, computer vision or NLP)
3+ years of hands-on experience in ML/AI engineering, with proven expertise in building and deploying solutions at scale
Bachelor's degree in a STEM major (mathematics, computer science, engineering)
Expertise in Python, PyTorch/TensorFlow and ML frameworks
Comfortable working with our stack (or similar): AWS, OpenSearch, PostgreSQL, Snowflake
Ability to work autonomously to deliver results at a rapid pace
Bonus
Experience with high-traffic, real-time platforms
3+ years of experience in high-growth, fast-paced environments
Competitive Salary
Stock Options
MacBook Pro + Tech Budget
Apply with your CV and provide authentic answers to the questions in the application form.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Computer Vision E-commerce Engineering LLMs Machine Learning Mathematics NLP OpenSearch PostgreSQL Python PyTorch Research Snowflake STEM TensorFlow
Perks/benefits: Career development Competitive pay Equity / stock options
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