Senior Engineer in ML (Payments)

Location: Remote from the United Kingdom, Hungary, Ireland, Poland, Portugal, Romania, or South Africa

Company

Unified payments infrastructure providing finance and payments teams with visibility and control across global payment operations.

What you will do

• Own the full lifecycle of ML-powered features, from research and experimentation through training, deployment, and production monitoring.
• Productionise smart routing decisions across payment flows and build supporting ML infrastructure, including versioning, CI/CD, and observability.
• Partner with product, data, engineering, stakeholders, and customers to identify use cases and deliver measurable outcomes.
• Design experiments and A/B tests, evaluate models pragmatically, and communicate what results do and do not demonstrate.
• Mentor engineers on ML techniques and help establish reliable, repeatable ML engineering practices.
• Contribute to technical direction and prioritise ML use cases while shaping the new ML function.

Requirements

• Senior experience in ML engineering, data science, or applied research, including production deployments through APIs, batch, or streaming systems.
• Strong Python skills and hands-on experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, or Keras.
• Solid software engineering, infrastructure, data tooling, and MLOps knowledge across the full ML lifecycle.
• Ability to design and run statistical experiments and A/B tests and interpret their results.
• Familiarity with reinforcement learning, including multi-armed or contextual bandits.
• Cloud experience, with AWS preferred; GCP or Azure are also accepted.

Nice to have

• Experience with payments or e-commerce.
• Production experience with reinforcement learning.

Culture & Benefits

• Remote-first work with a globally distributed workforce and remote practices established from the beginning.
• Workations, an annual company retreat, and access to co-working spaces across major cities.
• Uncapped holiday with a 25-day minimum, private medical insurance, and location-dependent additional benefits.
• Competitive share options, a learning budget, and equipment for the role.
• £500 contribution toward home office setup.

Hiring process

• Introductory call with a Talent Partner.
• Interview with the Hiring Manager.
• Role-specific challenge followed by a final values-alignment interview.