Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Establish the technical vision that integrates data science with engineering.

• Take ownership of the architecture, scalability, and dependability of high-performance machine learning systems for the fraud detection platform.

• Enhance multi-GPU training for foundational payment models, including Transformers.

• Determine how data is modeled, stored, and served, impacting feature generation pipelines and data quality throughout the ML lifecycle.

• Assume strategic responsibility for ML infrastructure, platforms, and tools that facilitate Data Science experimentation.

• Work alongside engineers and data scientists to manage and optimize machine learning at scale.

• Direct the design, architecture, and orchestration of comprehensive ML pipelines, from raw data extraction and feature engineering to training and inference.

• Create high-throughput pipelines for terabyte-scale datasets and multi-GPU training.

• Lead cross-functional initiatives involving Data Engineering, Infra, and other teams.

• Advance MLOps infrastructure for model versioning, automated deployments, monitoring, and observability.

• Guide team members through code reviews, design discussions, and knowledge sharing.

• Enhance internal tools and engineering best practices.

⛳️ Requirements

• Proven experience in designing, building, and deploying complex machine learning systems in a production environment.

• Profound understanding of the entire machine learning lifecycle.

• History of leading the design and implementation of scalable training pipelines for extensive datasets.

• Familiarity with PyTorch or TensorFlow, as well as distributed/multi-GPU training and transformer architectures.

• Knowledge of workflow orchestration tools such as Prefect, Kubeflow, or Argo.

• Experience in managing complex cross-functional projects and influencing technical direction across teams.

• Solid foundation in software engineering principles, including data structures, design patterns, Git, CI/CD, testing, and monitoring.

• Outstanding problem-solving capabilities and the ability to conduct technical deep-dives in uncertain situations.

• Team-oriented mindset with excellent communication skills.

• Nice to have: proficiency in Go, C++, Java, or Rust.

• Nice to have: familiarity with dbt.

• Must successfully complete pre-employment checks and fulfill 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 — Enjoy 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.