ML Platform Engineering Manager
Velocity Tech has partnered with an innovative AI-first organisation that is transforming how visual content is created. With a mission to close the gap between imagination and creation, this company is committed to developing cutting-edge technologies that empower both creative professionals and businesses.
Their advanced AI photo and video generation models power a suite of widely used applications and platforms, enabling creators and brands to harness the latest research breakthroughs and maintain full control over their creative output. The company also operates influencer marketing platforms that help creators scale their content and monetise their work, while enabling brands to expand their reach through strategic creator partnerships.
What You Will Be Doing
The ML Platform Engineering Manager will lead a team of backend engineers dedicated to building next-generation AI infrastructure. This team acts as the bridge between research and full-scale production—taking state-of-the-art ML and generative AI models and transforming them into robust, scalable systems that support AI-driven features used by millions.
The ML Platform team owns the AI pipeline end to end, from early research prototypes to production-grade deployments. The role involves building and optimising a high-performance inference platform capable of serving models at scale, accelerating research feedback loops, and enabling seamless AI experiences across multiple products.
This position requires a blend of deep technical expertise and people-focused leadership. The manager will drive architectural decisions for complex distributed systems while mentoring and developing the engineering team. Success in this role means delivering reliable, scalable AI infrastructure that supports rapid innovation in a fast-moving environment.
Your Skills and Experience
* 6+ years of experience in backend systems, with 1–3 years in engineering management or strong technical leadership roles
* Proven ability to design, build, and scale platform systems, owning complex projects from architecture to production
* Strong experience with cloud-based distributed systems, including architectural decision-making, deployment strategies, and operational excellence
* Advanced backend development skills with an emphasis on API design, scalability, observability, and monitoring
* Experience mentoring engineers and promoting high technical standards within fast-growing teams
* Excellent communication skills with the ability to collaborate across engineering, product, and cross-functional groups
* Interest in, or exposure to, ML model serving, GPU-based infrastructure, or ML platform tooling (preferred but not essential)
* Comfortable working in distributed teams across multiple time zones
* Bachelor's degree in Computer Science or an equivalent technical field