Junior Data Scientist / ML Engineer, Xelix
2+ days a week in office
AI-powered control centre for accounts payable teams
Job no longer available
AI-powered control centre for accounts payable teams
21-100 employees
Job no longer available
2+ days a week in office
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
- Typically, a bachelor's or master's degree in Computer Science, Machine Learning, Engineering, or a related field
- Proficiency in Python and familiarity with machine learning libraries and frameworks
- Understanding of AI/ML concepts and familiarity with various algorithms, principles and tools
- Demonstrable interest in the field evidenced through personal projects and collaborations
- Ability to work in a team, and problem-solving mindset
Desirable
- Some knowledge of the latest practical applications of state-of-the-art tools and techniques
- A well-maintained and starred GitHub repository
- Authorship of blog posts or articles on AI/ML topics
What the job involves
- About the Role Xelix is on the hunt for a Junior Data Scientist / ML Engineer to strengthen our Data Science team
- Model Development: develop and implement end-to-end machine learning models, including preprocessing, model choice, and evaluation; work with text, vision and tabular data
- Code Writing: write production-ready code, not just the model itself but also APIs, scripts, or other tools to use the model in a real-world application
- Implementation: collaborate day-to-day with our back-end and data engineering teams to develop our codebase and ensure optimal performance of our tools
- Research: Stay updated with the latest machine learning techniques and technologies, experiment with new algorithms and tools, and continually improve upon existing methodologies
Salary benchmarks
Share this job
View 8 more jobs at Xelix
Insights
Company
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
Funding (2 rounds)
Jul 2025
$160m
SERIES B
Jul 2022
$5m
SERIES A
Total funding: $165m
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