Senior Machine Learning Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Machine Learning Engineer building scalable, multi-GPU fraud-detection systems for Ravelin, a machine-learning fraud detection company. Leading ML infrastructure, data pipelines, MLOps, and model deployment reliability.
Responsibilities:
- 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
Similar Jobs
Senior Geospatial Machine Learning Engineer
Senior Geospatial ML Engineer building satellite-imagery vegetation intelligence for a climate-tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
Senior AI/ML Engineer
Senior AI/ML Engineer building production-grade AI systems for EcoVadis, a business sustainability ratings provider. Designing MLOps pipelines and cloud solutions with Python, Azure, MLflow, and Databricks.
Staff Machine Learning Engineer – Gen AI, Voice & Speech
Staff GenAI Engineer building scalable voice and speech AI platforms for Weave, a healthcare communications technology company. Leading ML infrastructure, architecture, and cross-team technical strategy.
Machine Learning Engineer – Model Evaluation, Experimentation
Machine learning engineer authoring experiments and evaluating frontier AI models for a leading AI lab. Implementing ML and reinforcement-learning tasks, analyzing results, and identifying model limitations remotely in the United States.
Staff ML Engineer – ML/AI
Staff ML/AI Engineer architecting Lyra Health’s enterprise AI platforms for evidence-based mental health care. Driving generative AI infrastructure, reliability, security, and clinical precision.
Senior ML Engineer – MLOps
Senior MLOps Engineer building production ML and generative AI infrastructure for Lyra Health, an evidence-based mental healthcare provider. Developing platforms, evaluation frameworks, and AI product services.
Applied AI/ML Engineer
Applied AI/ML Engineer building NLP, LLM, and knowledge-graph systems for Intangible’s interactive 3D creative tools. Developing AI assistants that help users visualize and communicate spatial ideas.
Senior Machine Learning Engineer
Senior ML Engineer developing production computer-vision models for GBG’s digital identity verification technology. Deploying, evaluating, and improving AI systems while mentoring CVML engineers in an Agile environment.
Staff ML Engineer, GenAI, Voice & Speech
Staff ML Engineer building scalable voice and speech GenAI infrastructure for Weave’s AI-powered products. Designing models, platforms, and distributed services for high-volume customer experiences.
Senior Machine Learning Software Engineer
Machine Learning Senior Software Engineer building model validation, optimization, and safety systems for Akamai’s distributed cloud platform. Developing secure inference pipelines, guardrails, and model evaluation frameworks.
Forward Deployed Machine Learning Engineer
Forward Deployed ML Engineer building benchmarks, model evaluations, and backend infrastructure for Protege’s secure AI training-data exchange platform. Partnering with researchers, customers, and DataLab to turn evaluation engagements into products.
Machine Learning Scientist 5 – Forecasting Aggregation
Machine Learning Scientist building Netflix’s ad-campaign forecasting models. Developing interpretable predictions for inventory, delivery risk, reach, and frequency at scale.
ML Software Engineer
ML Software Engineer building multimodal data pipelines, foundation models, and inference systems. Advancing reliable autonomous freight vehicles through physical AI and production-grade tooling.
Staff ML Engineer – Scene Generation
Staff ML Engineer leading neural rendering and generative modeling for Torc Robotics’ autonomous truck software. Building scalable Camera, LiDAR, and Radar simulation pipelines for AV training and validation.
VP of Research, Machine Learning
Leading research and production ML systems for A1’s proactive smart assistant. Defining reasoning, evaluation, safety, and orchestration for reliable everyday task completion.
Machine Learning Engineer, Speech – Joint Audio-Video Modeling
Research/ML Engineer specializing in audio generation and AI systems at Cantina. Leading development of advanced speech and audio models for joint audio-video applications.
Machine Learning Engineer
Machine Learning Engineer at Interval solving technical problems related to AI, privacy, and distributed systems. Collaborating to build models using enterprise data while maintaining privacy.
Machine Learning Engineer, Especialista II – Dados, Consumidor
Machine Learning Engineer responsible for developing ML solutions and pipelines at Grupo Boticário. Collaborating in a dynamic data ecosystem for beauty brands globally.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing core AI systems for proactive smart assistant solutions. Collaborating with cross-functional teams to deliver impactful AI products at scale.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at A1 Engineering building AI-native systems. Owning critical ML subsystems, collaborating with teams, and ensuring production reliability.