Tech Lead - ML Platform

Overview

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration. The company is also known globally for pioneering consumer creativity through products like Facetune, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all. We push the boundaries of what’s possible with AI and video—not for buzz, but for craft, the challenge, and the chance to make something genuinely new. We believe in an environment where people are encouraged to think, create and explore, and where breakthroughs start with great people and a collaborative mindset.

Responsibilities

What you will be doing: As the ML Platform Tech Lead, you’ll be responsible for the development of Lightricks’ AI infrastructure, taking an active role in mentoring backend engineers directly. This is a hands-on tech-lead position that blends system design and technical strategy. You will work closely with our ML research teams, product, and engineering stakeholders to take cutting-edge AI models into production, powering features across our creative apps used by millions worldwide. You will own the full development lifecycle, from system architecture through deployment and operation, while also being accountable for team delivery, collaboration, and growth.

Qualifications

• 8+ years of experience in backend systems as a tech lead or senior engineer with leadership responsibilities
• Demonstrated ownership of complex projects from design to production in high-scale environments
• Strong backend development skills with focus on scalable APIs, distributed systems, and observability
• Deep understanding of cloud infrastructure and deployment strategies
• Excellent cross-functional communication and stakeholder alignment abilities
• Experience mentoring team members and fostering a culture of technical excellence
• Exposure to (or strong interest in) ML model serving, GPU-based systems, or ML platform tooling – a plus
• Comfortable working in distributed teams and across time zones
• B.Sc. in Computer Science or equivalent technical background

Benefits

• Stock Options
• Private Medical Insurance (Optical & Dental cover) including your loved ones
• Life Assurance
• £3,000/p/a Transport Allowance
• £750p/a allowance for Wellbeing & Professional Development
• Free on-site lunches, coffee, breakfast & snacks
• Pension Contributions (7%)
• Holiday (25 days)
• Seasonal & Anniversary Vouchers
• Hybrid & Flexible working
• Cool office space in central London
• Enhanced Parental Leave
• Cycle-to-work Scheme
• Season Ticket Loan
• Volunteering Opportunities
• Frequent social activities – away-days, happy hours, team building, yoga, creative workshops