Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles.
Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, weâre shaping the future of procurement on a global scale.
And weâre just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the #2 spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025âs fastest-growing startup in the UK by the FTâs Sifted, and as fourth in Europe.
Following our Series C, we have secured over $100 million in funding from leading investors including Bessemer Venture Partners, 83 North and Lakestar, and are expanding our reach across our team.
Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform.
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 donât 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 itâs stand-ups, prioritization or project management methods. Teams are assigned areas/goals/problems where they can make the biggest impact, yet they donât own any part of the code, so they can basically work on any part of the product.
People Managers - You wonât be left figuring things out alone. Our People Managers with psychology backgrounds focus on your growth, well-being and career support while keeping Verticeâs flat, collaborative culture strong. Theyâre 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 Youâll 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 Weâre Looking For
Youâre 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
Experience deploying or running AI systems on cloud platforms (AWS, GCP, Azure) is a plus, not a requirement
Familiarity with Large Language Models (LLMs) and their application to real-world problems
Why join Vertice?
Be a part of a fast-growing, innovative startup that is changing the way businesses buy and sell SaaS. Work with passionate and talented teams that value your contributions and expertise. Be part of a culture that promotes a growth mindset, transparency, collaboration, understanding and diversity.
Final Things To Note
Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job, and any data you provide us will be stored and disseminated in accordance with Verticeâs privacy policy.
We like to deal directly with our candidates so no agencies please!
If you arenât sure this job applies to you, feel free to send your CV to careers@vertice.one, and weâll be happy to take a look and see if you could be a good fit anywhere else in our business!