Senior Machine Learning Engineer

Senior Machine Learning Engineer

Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity, and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. Join us and you'll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews.

If this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses.

Key Responsibilities

• Lead the design, architecture, and orchestration of scalable and reliable end-to-end ML pipelines – from raw data extraction and feature engineering to model training and inference.
• Develop high-throughput data pipelines capable of handling terabyte-scale datasets efficiently and optimized for multi-GPU training of foundational transaction models (e.g., Transformers).
• Propose and champion new machine learning methods and tools (including platforms that empower Data Science experimentation) to influence the technical roadmap and promote continuous innovation.
• Drive cross-functional initiatives with Data Engineering, Infra, and other teams to align on data architecture and ensure our ML systems meet overarching business objectives.
• Evolve our MLOps infrastructure, driving the strategy for model versioning, automated deployments, monitoring, and observability using modern tools like Prefect.
• Mentor and guide other members of the team, fostering a culture of technical excellence and continuous improvement through code reviews, design discussions, and knowledge sharing.
• Champion and contribute to the continuous improvement of our internal tools and engineering best practices.

Skills, Knowledge and Expertise

• Demonstrable experience designing, building, and deploying complex machine learning systems in a production environment.
• Deep understanding of the full machine learning lifecycle, from research to deployment and a track record of leading the design and implementation of scalable training pipelines for large datasets.
• Experience with deep learning frameworks like PyTorch or TensorFlow, including distributed/multi-GPU training and transformer architectures.
• Familiarity with modern workflow orchestration tools such as Prefect, Kubeflow, Argo, etc.
• Working experience leading complex, cross-functional projects and influencing technical direction across multiple teams.
• Software engineering fundamentals, including data structures, design patterns, version control (Git), CI/CD, testing, and monitoring.
• Exceptional problem-solving skills, with a proven ability to navigate ambiguity and lead technical deep-dives to resolve complex issues.
• A collaborative mindset and strong communication skills with the ability to communicate to a range of audiences.

Nice to Haves

• Proficiency in a systems programming language (e.g., Go, C++, Java, Rust).
• Familiarity with data pipeline tools like dbt.

Benefits

• Flexible Working Hours & Remote-First Environment — Work when and where you're most productive, with flexibility and support.
• Comprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind.
• £1,000 Annual Wellness and Learning Budget — Prioritize your health, well-being and learning needs with funds for fitness, mental health, and more.
• Monthly Wellbeing and Learning Day — Take every last Friday of the month off to recharge or learn something new, up to you.
• 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day — Enjoy generous time off to rest, travel, or celebrate what matters to you.
• Mental Health Support via Spill — Access professional mental health services when you need them.
• Aviva Pension Scheme — Plan for the future with our pension program.
• Ravelin Gives Back — Join monthly charitable donations and volunteer opportunities to make a positive impact.
• Fortnightly Randomised Team Lunches — Connect with teammates from across the company over in person or remote lunches every other week, on us!
• Cycle-to-Work Scheme — Save on commuting costs while staying active.
• BorrowMyDoggy Access — Love dogs? Spend time with a furry friend through this unique perk.
• Weekly Board Game Nights & Social Budget — Unwind with weekly board games or plan your own socials, supported by a company budget.

*Job offers may be withdrawn if candidates do not meet our pre-employment checks: unspent criminal convictions, employment verification, and right to work.