Technology is one of the biggest items in an enterprise CFO’s budget, second only to headcount. Traditional procurement is one of the most frustrating, friction-filled bottlenecks in the modern business.
Vertice is the world’s first Intelligent Procurement Platform eliminating this chaos. By combining agentic workflows, deep AI insights, and a global network of expert negotiators, we empower enterprises to buy smarter and scale at pace.
The market response has been unprecedented:
$75bn+ in spend processed across our platform.
20% savings consistently delivered to our customers.
70% reduction in standard enterprise procurement cycles.
13X revenue growth achieved over the last two years alone.
Founded by serial technology entrepreneurs Roy and Eldar Tuvey, who have successfully scaled and exited two category-defining platforms and created $600M+ in enterprise value, we are backed by over $100M in Series C funding from tier 1 global investors including Bessemer Venture Partners, 83North, Lakestar. We have also been recognized as the #2 fastest-growing company on the Sunday Times' Tech 100 and the fastest-growing startup in the UK and Ireland by the FT’s Sifted (#4 in Europe).
With headquarters in London and hubs in New York, Brno, Sydney, and Johannesburg, we are fundamentally reshaping the global B2B economy.
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
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
You can find more information about us here : https://www.vertice.one/engineering-careers
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.
Benefits
Share Options
25 days of vacation
5 sick & career days
Group life insurance
Enhanced Maternity and Paternity Leave
Pension / Insurance Plan Contribution
GastroPass
FlexiPass contribution or Multisport card
Quality referral bonus program
English language courses with a professional teacher
#LI-DNP #BI-DNI
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. Any personal data you provide will be processed in accordance with Vertice's privacy policy and applicable data protection law.
We use AI-assisted tools to help us review and assess applications more efficiently. These tools support our Talent team but do not make hiring decisions autonomously. You have the right to contest any AI-assisted decision, and exercise your data subject rights by contacting us; please follow the instructions in our privacy policy.
We like to deal directly with our candidates so no agencies please!
If you aren’t sure this job applies to you, feel free to send your CV to [email protected], and we’ll be happy to take a look and see if you could be a good fit anywhere else in our business!