Staff Machine Learning Engineer

Our client is a global, technology-led organisation operating at the intersection of machine learning, computer vision, and interactive entertainment. They are investing heavily in advanced R&D to transform how quality assurance is done at scale.

This role sits within a research-focused engineering team developing cutting-edge anomaly and glitch detection technology used across multiple stages of product development - from early builds through to large-scale testing and certification. The work has real-world impact, improving product quality for millions of end users globally.

You'll operate at Senior / Staff level, shaping technical direction, driving innovation, and contributing to both applied research and production-ready systems., * Designing, developing, and deploying novel machine learning models for anomaly and glitch detection

• Leading research workstreams and contributing to publications, patents, and internal knowledge sharing
• Working closely with cross-functional teams to productionise ML systems at scale
• Mentoring and guiding junior engineers and researchers
• Communicating complex technical concepts clearly to both technical and non-technical stakeholders
• Prototyping new ideas quickly to evaluate performance and feasibility

• Strong academic background (Master's or PhD preferred, or equivalent experience)
• 5+ years' experience delivering ML solutions from research through to deployment
• Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks
• Deep understanding of machine learning, data analysis, and statistical modelling
• Experience in anomaly detection, computer vision, or applied ML research
• A track record (or strong interest) in publishing, patents, or conference participation
• Strong communication skills and a collaborative mindset
• An interest in gaming or interactive technology is highly beneficial