Senior ML Engineer
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Job Description
Senior ML Engineer building production ML features and smart payment routing. Shaping Primer’s machine-learning foundations for its global payments infrastructure.
Responsibilities:
- Own the full lifecycle of ML-powered features, from research and testing through training, deployment, and production monitoring
- Productionise smart routing decisions across the payment flow
- Build ML infrastructure including versioning, CI/CD, and observability
- Partner with product, data, and engineering to turn use cases into measured outcomes
- Apply pragmatic, impact-first experimentation and model evaluation
- Mentor engineers adopting ML techniques
- Speak directly with customers to validate ideas and test solutions against real usage
- Help set technical direction and prioritise ML use cases
- Establish reliable and repeatable ML patterns and practices at Primer
- Report to engineering leadership while the ML function develops
Requirements:
- Senior experience in ML engineering, data science, or applied research, with real production deployments via API, batch, or streaming
- Ability to design and run experiments and A/B tests and interpret their results
- Strong Python skills
- Hands-on experience with scikit-learn, XGBoost, TensorFlow, PyTorch, or Keras
- Solid grounding in modern software engineering, infrastructure, and data tooling
- Understanding of MLOps challenges across the full ML lifecycle
- Familiarity with reinforcement learning, including multi-armed or contextual bandits
- Cloud experience; AWS preferred, with GCP or Azure acceptable
- Comfortable researching, developing, and productionising independently
- Payments or e-commerce exposure is a plus, not a prerequisite
Benefits:
- Competitive share options
- Uncapped holiday, with 25 days minimum to be taken
- Co-working space access across major cities
- Workations and company retreat
- The best equipment for your role
- £500 towards your home office setup
- Generous learning budget
- Private Medical Insurance
- Additional perks and benefits depending on location
- Fully remote and globally distributed work arrangement
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