Senior Machine Learning Engineer

Department: Detection

Employment Type: Full Time

Location: London, London, London, Remote

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 optimised 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.

• 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 — Prioritise 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.