Senior Machine Learning Engineer
Primer.io · Remote · United Kingdom · Hungary · Poland · South Africa · Ireland · Romania ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior Machine Learning Engineer
- Fully remote (global)
- Build ML team from scratch
- Python + AWS
- Payments infrastructure
As the first Senior Engineer in Machine Learning, you will partner with a Staff Engineer to establish the foundations of the DS/ML team. You will work closely with engineering, data, and product stakeholders to identify high-impact use cases and productionize smart routing decisions across the payment flow.
What you'll do
- Own the full lifecycle of ML features from research to production monitoring
- Productionise smart routing decisions and build surrounding ML infrastructure
- Partner with product and engineering teams to ship measured outcomes
- Mentor engineers on ML techniques and pragmatic tradeoffs
- Engage directly with customers to validate ideas against real usage
- Establish reliable patterns for repeatable ML work at scale
What you'll need
- Senior experience in ML engineering or applied research with production deployments
- Strong statistical mindset for designing experiments and A/B tests
- Proficiency in Python and libraries like scikit-learn, XGBoost, or PyTorch
- Solid grounding in software engineering, infrastructure, and MLOps challenges
- Familiarity with reinforcement learning concepts such as contextual bandits
- Cloud experience with AWS, GCP, or Azure
- Comfortable working independently amidst ambiguity and undefined processes
Nice to have
- Exposure to payments or e-commerce domains
Stack
- Python
- scikit-learn
- XGBoost
- TensorFlow
- PyTorch
- Keras
- AWS
- GCP
- Azure
How you'll work
- Fully remote since day one
- Globally distributed team
- Access to co-working spaces in major cities
- Annual company retreat and workations
What you get
- Competitive share options
- Flexible holiday with 25 days minimum
- £500 home office setup budget
- Generous learning budget
- Private Medical Insurance
- Best-in-class equipment provided
Hiring process
- Initial intro call with Talent Partner
- Interview with Hiring Manager
- Contextualised challenge stage
- Final values-alignment interview