Senior Machine Learning Engineer

Overview

Senior Machine Learning Engineer to design, build, and deploy production-grade ML and AI systems, moving from research to scalable, reliable products.

What you'll do

• Design, build, and maintain scalable production-grade ML systems and pipelines.
• Develop novel algorithms and models and deploy them for reliable operational use.
• Build ML products using statistical modelling, deep learning, and AI techniques across domains.
• Translate scientific and business problems into well-scoped ML solutions and deployable capabilities.
• Architect and optimise ML systems for performance, scalability, and reliability.
• Collaborate with data scientists, engineers, and domain experts in cross-disciplinary teams.
• Provide technical results, trade-offs, and product outcomes to peers and senior customers.

What you'll need

• Hold an MSc or PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Engineering, or related).
• Have hands-on experience typically 5+ years in designing, prototyping, productionising, maintaining, and scaling ML/data science products.
• Demonstrate expertise in machine learning algorithms, statistical modelling, and optimisation techniques.
• Have applied knowledge of data science and ML tools across the data and model lifecycle.
• Have strong programming experience in one or more object-oriented languages (Python, Go, Java, C++, etc.).
• Have advanced SQL knowledge.
• Be experienced with modern ML engineering practices including MLOps, CI/CD, and monitoring.

Details

• Hybrid role with office/remote working.
• Travel requirement of up to 10%.
• Relocation assistance: not eligible for relocation.