About the company

At VEED, we're a generative AI company building the AI video creation platform made for social. It's where millions of marketers imagine and generate branded videos, in minutes.

We're powered by frontier models and VEED Fabric, our own image-to-video model. Our APIs also run AI video inside leading creative products.

We're a fast-moving team, backed by Sequoia, doing $50M ARR. Come help us make AI videos worth posting.

Where And How We Work

At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London, Amsterdam and Barcelona-based employees and you have flexibility to decide which day.

About the team

Our team is the engine behind VEED's state-of-the-art models. We own the GPU infrastructure that powers everything from real-time video generation to our API platform, and we're scaling fast.

We work at the intersection of cutting-edge ML research and production engineering. If it runs on a GPU, we're behind it.

What you'll do

• Deploy and operate our AI models across GPU infrastructure, ensuring the reliability and performance our enterprise customers depend on.
• Own monitoring, alerting, and incident response, keeping our systems healthy and our SLAs intact.
• Manage failovers across multiple cloud and neo-cloud GPU providers, balancing cost, performance, and risk.
• Build data pipelines that support model training and help us iterate faster on new model releases.
• Work as a technical peer: contribute ideas, challenge assumptions, and help make better decisions on architecture and tooling.
• Influence the design of our API platform by suggesting technologies and approaches as we build the infrastructure layer that enterprise customers will rely on.
• Source creative solutions to GPU availability and cost constraints, working with both major cloud providers and specialist neo-cloud partners.

Our Stack

Python (primary), TypeScript and Go (cross-team collaboration). GPU infrastructure across GCP cloud provider and neo-cloud providers. PyTorch model ecosystem for deployment and serving.

About you

• Hands-on with GPUs. You've run models, provisioned and managed GPU infrastructure yourself, not just consumed third-party APIs. You know what it takes to keep these systems running reliably at scale.
• Strong in Python. It's your go-to language. TypeScript and Go are a bonus if you've worked across teams.
• Experienced in DevOps or MLOps. You bring operational rigour across monitoring, alerting, incident response and failover, and you've applied it in a production environment with real reliability expectations.
• Familiar with neo-cloud providers. You understand the trade-offs of working with specialist GPU providers beyond the big three: the cost benefits, the risks, and how to manage both.
• A strong technical partner. You're comfortable working closely with another engineer, pushing back when you disagree, and contributing to technical decisions rather than just implementing them.
• Hands-on with the ML stack. You've deployed PyTorch models to production yourself and can handle the common failure modes. CUDA-level optimization isn't required, that's our performance engineer's job.
• Excited by the problem. GPU sourcing is genuinely hard. Cost, performance, and availability constraints require creative thinking. You're energised by that kind of challenge.

What we offer

• Monthly subsidy programme: Everyone values different things, so we give you a monthly allowance to spend how it suits you best — whether that’s on office furniture, childcare, gym memberships, or anything else that makes your life easier.
• Unlimited paid holidays: Time with family, friends, or just yourself is priceless.
• Home office set-up: We make sure your home office is fully equipped with everything you need — laptop, monitors, headsets, keyboards, and more — so you can work comfortably and creatively.
• Equity: When VEED wins, you win. Our stock options let you share in the company’s growth and be a part of our journey.

This role is open at IC3 or IC4 level depending on experience. The salary range across both levels is £ 76,000 - £ 119,400 gross per year. The level and offer are determined by the scope of the role and your experience and skills assessed during the process. We do not ask about current or previous salary at any stage.

We think what matters is people. After all, a company is just a group of people. We don’t care about where you’re from, what school you went to or where you worked before. If you’ve done exceptional work, we want to hear from you. Join us on our mission to make creative storytelling with video simple and accessible for everyone.

By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Function: Engineering