3 months ago
Remote, United Kingdom or London, United KingdomSenior
Responsibilities
- Lead the architecture and orchestration of scalable ML pipelines spanning data extraction, feature engineering, model training, and inference.
- Build high-throughput pipelines for terabyte-scale datasets and optimize multi-GPU training of foundational transaction models such as Transformers.
- Champion machine learning methods, experimentation platforms, and tools that influence the technical roadmap.
- Drive cross-functional data architecture initiatives with Data Engineering, Infrastructure, and other teams.
- Set the strategy for MLOps infrastructure, including model versioning, automated deployments, monitoring, and observability using tools such as Prefect.
- Mentor team members through code reviews, design discussions, and knowledge sharing.
- Improve internal tools and engineering practices.
Requirements
- Demonstrable experience designing, building, and deploying complex production machine learning systems.
- Deep understanding of the full machine learning lifecycle and experience leading scalable training pipelines for large datasets.
- Experience with PyTorch or TensorFlow, distributed or multi-GPU training, and Transformer architectures.
- Familiarity with workflow orchestration tools such as Prefect, Kubeflow, or Argo.
- Experience leading complex cross-functional projects and influencing technical direction across multiple teams.
- Software engineering fundamentals including data structures, design patterns, version control, testing, and monitoring.
- Strong problem-solving, technical deep-dive, collaboration, and communication skills.
- Nice to have: proficiency in Go, C++, Java, or Rust, and familiarity with dbt.
Benefits
- Flexible working hours and a remote-first environment.
- BUPA health insurance.
- £1,000 annual wellness and learning budget.
- Monthly wellbeing and learning day, with the last Friday of each month off.
- 25 days of holiday plus bank holidays and one additional cultural day.
- Mental health support through Spill.
- Aviva pension scheme.
- Monthly charitable donations and volunteer opportunities through Ravelin Gives Back.
- Fortnightly randomized team lunches, available in person or remotely.
- Cycle-to-Work Scheme.
- BorrowMyDoggy access.
- Weekly board game nights and a social budget.
About Ravelin
Ravelin builds fraud prevention and payments risk tools for ecommerce, marketplaces and payment providers, delivered as a SaaS platform and APIs. Its machine-learning models, graph network analysis and rules help clients stop payment fraud, policy abuse and account takeovers while reducing chargebacks and false declines. Founded in 2014 and headquartered in London, it serves global online businesses across retail, food delivery and travel.