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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** Ravelin Technology - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £66,112.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Big Data, C++ (Programming Language), Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Structures, Software Design Patterns, Fraud Prevention and Detection, Machine Learning, Raw Data, Tensorflow, Software Deployment, System Programming, Rust (Programming Language), Feature Engineering, Pytorch, Deep Learning, Git, Kubernetes, Deployment Automation, Machine Learning Operations, Software Version Control, Data Pipelines, Golang - **Published:** August 14, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5840385503 ## About the Role * 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. ## Description The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it's down to the Detection team to investigate why. The Detection team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. In this role, you will be setting the technical direction that bridges data science and engineering. You will be responsible for the architecture, scalability, and reliability of the high-performance ML systems that form the core of our fraud detection platform, with a critical focus on optimizing multi-GPU training for our foundational payments models (e.g., Transformers). Beyond just consuming data, you will take a leading role in defining how data is modeled, stored, and served, directly influencing the architecture of our feature generation pipelines and ensuring data quality throughout the ML lifecycle. You'll take strategic ownership of our ML infrastructure, championing platforms and tools that empower Data Scientists to rapidly experiment with novel data inputs and model architectures. Your day-to-day will involve close collaboration with engineers and data scientists to operate and optimize machine learning at scale, while also providing mentorship and guidance to other members of the team. * 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. ## Related Videos - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)