About
Xelix builds AI solutions that automate and strengthen financial controls for large companies, helping Accounts Payable teams move from manual processes to automated, intelligent workflows.
Responsibilities
•Design and build production AI systems, including agent-based workflows, tool use, and multi-step reasoning
•Develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches
•Work with hosted and self-hosted models and contribute to decisions on model selection, performance, and cost
•Write clean, maintainable Python and contribute to scalable, observable systems
•Design evaluations, measure performance rigorously, and improve systems using real-world feedback
•Use modern AI coding tools to work faster while maintaining high standards
•Collaborate with product and engineering teams to deliver high-impact features
Requirements
•2–5 years of experience building and shipping ML or AI-powered systems into production
•Clean, testable Python, solid software design, and experience working in production environments
•Experience with traditional ML, such as gradient boosting, and/or LLM systems, including prompting, tool use, evaluations, and agents
•Ability to reason about trade-offs involving accuracy, latency, cost, and reliability, and design accordingly
•SQL, pandas, and experience working with messy real-world data
•Comfortable using AI-assisted coding tools effectively
•Proactive curiosity in exploring new approaches and improving existing systems
•Strong cross-functional collaboration skills
Conditions
•Competitive salary of £65,000 to £75,000 depending on experience
•27 days of annual leave, including 3 days Christmas closing; increases by up to 3 days based on tenure, with the option to roll over, buy, or sell up to 3 days
•On-site gym and cycle to work scheme
•Employee discounts at over 100 retailers
•Comprehensive private medical and dental cover with Vitality
•Enhanced parental leave pay
•£1,000 personal annual learning and development budget
•Carbon-neutral company working towards ambitious carbon reduction goals
•Team socials and activities
•Annual team retreat
•Standard working hours are 9:00 AM to 6:00 PM, Monday through Friday
•The interview process includes an introductory call, a hiring manager interview, a technical task or presentation, and a final on-site interview
•AI may be used for research and interview preparation, but not to generate answers during live interviews
•Metaview's AI note-taker is used during interviews; candidates may ask interviewers not to use it
•Eligibility questions may be part of the application
•Applications are reviewed by a member of the Talent team, not by AI
