AIML Engineer

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 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 were shaping the future of procurement on a global scale.

And were 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 2025s fastest-growing startup in the UK by the FTs Sifted and as fourth in Europe.

Following our Series C we have secured $100M in funding from leading investors including Bessemer Venture Partners 83North 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 dont 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 its stand-ups prioritization or project management methods. Teams are assigned areas/goals/problems where they can make the biggest impact yet they dont own any part of the code so they can basically work on any part of the product.

• People Managers - You wont be left figuring things out alone. Our People Managers with psychology backgrounds focus on your growth well-being and career support while keeping Vertices flat collaborative culture strong. Theyre 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 Youll 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 Were Looking For

Youre 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.

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

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 Vertices 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 arent sure this job applies to you feel free to send your CV to and well be happy to take a look and see if you could be a good fit anywhere else in our business!

Required Experience:

IC