Our mission is to make enterprise procurement effortless.

Technology is one of the biggest line items in any enterprise budget, yet buying it still means months of back-and-forth across Finance, Legal and IT. Vertice is the AI procurement platform changing that. Our agentic workflows, autonomous negotiation agents, and expert buyers help finance and procurement teams in 100+ countries buy smarter and save money. Customers including ARM, Brex and Santander rely on us, and with over $75bn in spend processed, we consistently deliver 20%+ savings while cutting procurement cycles in half. The market momentum has been unprecedented, and in 2026 we were named #1 in B2B software and third overall in the Deloitte UK Technology Fast 50.

We were founded by Roy and Eldar Tuvey, serial entrepreneurs who have already built and exited two category-defining companies, and we’re backed by $100M+ from investors including Bessemer Venture Partners.

We’re a team that values candour and moves fast. Every permanent employee holds equity, so you share directly in what we build. If you’re looking for a comfortable 9-to-5, we’re probably not the right fit. If you want to do the best work of your career, we’d love to talk.

How we work at Vertice Engineering

Collaboration and transparency are at the core of how we work. We keep it simple - no unnecessary management layers, just direct connections between business and engineering. Hierarchies don’t get in the way, instead - we keep things flat, flexible and focused on what works. This is how we do it:

Autonomous Teams - Our small teams (made up of Frontend, Backend, Fullstack and QA) operate without traditional tech leads or managers. They decide how they work - whether it’s stand-ups, prioritization or project management methods. Teams are assigned areas/goals/problems where they can make the biggest impact, yet they don’t own any part of the code, so they can basically work on any part of the product.

People Managers - You won’t be left figuring things out alone. Our People Managers with psychology backgrounds focus on your growth, well-being and career support while keeping Vertice’s flat, collaborative culture strong. They’re here to encourage open communication, support conflict resolution and help ensure you thrive.

Chapters - Specialists still need to stay aligned. Chapters bring together people with similar expertise - like Frontend, Test Automation or Release - to share best practices, standards, common sense and they keep the knowledge flowing across teams - directly!

Your Role at Vertice

At Vertice, we build AI systems that run in production and solve real business problems end-to-end.

As an AI/ML Engineer, you will design, build, and operate hands-on AI solutions that are deeply integrated into our product and workflows. You will spend most of your time engineering systems: working real-world data, building intelligent services, integrating modern language models, and shipping reliable features that users depend on every day. You will collaborate closely with product managers and engineers to turn ambiguous problems into working AI-powered capabilities - from idea to production.

What You’ll Work On

Designing and implementing end-to-end AI solutions

Building intelligent, LLM-powered systems for text- and document-heavy use cases

Working with unstructured data (e.g. documents, PDFs, text streams) and turning it into usable signals

Integrating and operating AI components as part of larger backend systems

Continuously improving robustness, quality, and performance of AI-driven features

Owning what you build: monitoring, iterating, and improving it over time

What We’re Looking For

You’re an engineer first - you like building things that work, not just experimenting:

Strong hands-on experience writing maintainable Python code

Solid proficiency with Python and its ecosystem (e.g. NumPy, Pandas, PyTorch, HuggingFace or similar)

Practical understanding of modern ML techniques, including neural networks and fine-tuning

Experience implementing end-to-end ML/AI solutions