Senior Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ravelin Technology

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

☁️ SaaS

💳 Fintech

🔐 Security

💰 $20.7M Series C - Ravelin on 2020-07

SaaS • Fintech • Security

Ravelin Technology is a B2B company that provides fraud detection and prevention solutions for online payments and digital marketplaces. Using AI-driven models and agentic tooling, it addresses payment fraud, refund and promo abuse, account takeover (ATO), 3D Secure optimization, marketplace partner fraud, and transaction optimization. The company offers APIs, SDKs and integrations so businesses can embed its real-time decisioning and risk-analysis capabilities into their payment and account-security workflows.

📋 Description

• Set the technical direction bridging data science and engineering. • Own the architecture, scalability, and reliability of high-performance machine learning systems for the fraud detection platform. • Optimize multi-GPU training for foundational payments models such as Transformers. • Define how data is modeled, stored, and served, influencing feature generation pipelines and data quality across the ML lifecycle. • Take strategic ownership of ML infrastructure, platforms, and tools supporting Data Science experimentation. • Collaborate with engineers and data scientists to operate and optimize machine learning at scale. • Lead the design, architecture, and orchestration of end-to-end ML pipelines from raw data extraction and feature engineering through training and inference. • Develop high-throughput pipelines for terabyte-scale datasets and multi-GPU training. • Drive cross-functional initiatives with Data Engineering, Infra, and other teams. • Evolve MLOps infrastructure for model versioning, automated deployments, monitoring, and observability. • Mentor team members through code reviews, design discussions, and knowledge sharing. • Improve internal tools and engineering best practices.

🎯 Requirements

• Demonstrable experience designing, building, and deploying complex machine learning systems in production. • Deep understanding of the full machine learning lifecycle. • Track record leading design and implementation of scalable training pipelines for large datasets. • Experience with PyTorch or TensorFlow, distributed/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 teams. • Software engineering fundamentals, including data structures, design patterns, Git, CI/CD, testing, and monitoring. • Exceptional problem-solving skills and ability to lead technical deep-dives through ambiguity. • Collaborative mindset and strong communication skills. • Nice to have: proficiency in Go, C++, Java, or Rust. • Nice to have: familiarity with dbt. • Must pass pre-employment checks and satisfy right-to-work requirements.

🏖️ Benefits

• Flexible Working Hours & Remote-First Environment — Work when and where you’re most productive, with flexibility and support. • Comprehensive BUPA Health Insurance • £1,000 Annual Wellness and Learning Budget • Monthly Wellbeing and Learning Day — Take every last Friday of the month off • 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day • Mental Health Support via Spill • Aviva Pension Scheme • Ravelin Gives Back — Monthly charitable donations and volunteer opportunities • Fortnightly Randomised Team Lunches • Cycle-to-Work Scheme • BorrowMyDoggy Access • Weekly Board Game Nights & Social Budget • Pre-employment checks including unspent criminal convictions, employment verification, and right to work