Senior Machine Learning Engineer

Summary

Join Tilt, the UK's largest live shopping platform, as a Senior Machine Learning Engineer. This hands-on role involves designing, developing, and deploying innovative AI-driven features for e-commerce. You will collaborate with cross-functional teams, build scalable AI infrastructure, and provide technical guidance. This is a fast-paced startup environment requiring a relentless problem-solver with experience scaling ML systems to serve millions of users. The ideal candidate possesses strong technical skills in Python, PyTorch/TensorFlow, and AWS, among other technologies. Tilt offers competitive benefits, including stock options, a MacBook Pro, flexible working arrangements, and gym access.

Requirements

• Be an ambitious, curious, relentless and no ego problem-solver excited to build the future of shopping
• Candidates MUST be ready to join a startup and move fast through interview rounds
• 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

Responsibilities

• 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
• Provide valuable technical guidance for product engineers on building world-class AI systems
• Dig deep into existing products, develop plans for improvement and collaborate with the team to execute

Preferred Qualifications

• Experience with high-traffic, real-time platforms
• 1+ years of experience in high-growth, fast-paced environments

Benefits

• Stock Options
• MacBook Pro + Tech Budget
• Flexible and hybrid working as standard
• Canary Wharf office includes gym access
• Opportunity for periods of fully remote work, from any location