AI Engineer, Xelix
£65-75k
1 day a week in office (Hoxton, London )
AI-powered control centre for accounts payable teams
Posted today
AI-powered control centre for accounts payable teams
21-100 employees
Posted today
£65-75k
1 day a week in office (Hoxton, London )
21-100 employees
Company mission
To build best-in-class solutions for Accounts Payable - using the latest technology to drive real outcomes for our customers.
Role
Who you are
- 2–5 years’ experience delivering ML or LLM-powered features to production, from data prep and model training to deployment and iteration
- Strong Python skills for AI/ML applications — clean, well-tested code, version control best practice, and smooth integration with back-end systems
- Hands-on experience with gradient-boosted models (e.g., XGBoost, LightGBM) and/or building LLM-powered systems (e.g. tool/function calling, prompt design, evals) for text-heavy tasks
- Solid data skills: SQL, pandas, experiment tracking, and cloud deployment (AWS a plus)
- A passion for AI/ML, shown through personal projects, a well-maintained GitHub portfolio, blog posts, or contributions to the AI/ML community
- Strong collaboration skills — able to work closely with engineers, product managers, and data teams to ship impactful features
What the job involves
- We are now hiring for a Mid-Level AI Engineer to join our growing AI Engineering team
- This role is an exciting opportunity to leverage state-of-the-art technology, including the latest LLMs and AI technologies, to power our tools and develop impactful new solutions for our customers
- Model Development: design, train, and evaluate end-to-end ML models - from preprocessing to deployment - working with text, vision, and tabular data
- LLM & AI Systems: build and refine applications leveraging large language models, prompt engineering, and agentic frameworks to solve real-world business problems
- Production Code: write clean, maintainable Python for AI/ML applications and collaborate with our back-end team to integrate seamlessly into the platform
- Experimentation & Research: stay current with the latest AI/ML techniques, test new algorithms and tools, and improve upon existing approaches
- Collaboration: work closely with product, data, and engineering teams to deliver high-impact, customer-facing features
- This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday
Application process
- While the exact process may vary slightly depending on the role, our typical interview stages are:
- Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity
- Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team
- Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach
- Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office
- We strive to make the process clear, efficient, and respectful of your time
Salary benchmarks
Our take
Xelix helps enterprise finance teams detect high-risk transactions and prevent financial losses driven by error or fraud. The solution also provides a deep analytics capability in the areas of cash management & supply chain performance.
Currently, up to 1% of company spend is lost due to Accounts Payable errors. This can be caused by simple manual errors (e.g. keying mistakes), technology mishaps (e.g. OCR failures) or intentional fraud from inside or outside the company. When trying to maximize the profitability of a company a 1% difference in net spending can make an immense difference, therefore the software that Xelix is developing has huge potential.
As evidence of its power, Xelix claims that it typically saves companies 6-figures within the first 3 months of going live and drives a positive ROI within one month. Additionally, its analytics capability provides in-depth analysis & insights on supply chain activity - including payment performance, procurement trends & working capital management. Ultimately, Xelix has the first-mover advantage in its market and if keeps progressing at its current pace it could easily grow rapidly.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Jul 2025
$160m
SERIES B
Jul 2022
$5m
SERIES A
Total funding: $165m
Company benefits
- Learning & development culture – £500 personal annual budget
- We’re carbon-neutral and are working towards ambitious carbon reduction goals
- Lots of team socials & activities
- Annual team retreat
- On-site Gym
- 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
- Hybrid working from our dog-friendly Hoxton office
- Comprehensive private medical & dental cover with Vitality
- Enhanced parental leave
Company values
- Be productive
- Be proactive
- Keep improving
- Be collaborative
Company HQ
London, UK
Articles
Leadership
Paul Roiter
(Co-Founder & CEO)Paul has a degree in Political Science and Government and an MBA. They previously co-founded Dingo App, a peer-to-peer ticketing app.
Phil Watts
(Co-Founder & CPO)Phil has a degree in Maths and Economics, and they're a qualified Chartered Accountant. They previously co-founded Dingo App, a peer-to-peer ticketing app.
People progressing
Maddy joined Xelix as an SDR in 2022, before joining the Partnerships team in October 2023.
Miki joined Xelix in 2019 as a Software Engineer, before being promoted to Lead Data Engineer. They are now a Staff Software Engineer.
Having joined Xelix in April 2023 as an SDR, Hannah is now a Customer Success Manager.
Diversity, Equity & Inclusion at Xelix
- Building a diverse and inclusive team is at the heart of everything we do both in the people team, and the wider Xelix team. We are aware that diversity & inclusion efforts are ongoing, and that we will never have it all figured out and ‘done’. This means we need to constantly learn and iterate. We will also make mistakes, but the important thing is that we learn from them and act with positive intent.
- Equal opportunity employer
- Advanced parental pay
- Actively track and working to improve gender balance (currently 29% female)
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