Staff Machine Learning Engineer
hace 6 días
Liverpool
Senior / Staff Machine Learning Engineer - Gaming London – Hybrid Competitive Salary + Benefits About the Role 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. Key Responsibilities • 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 Your work will focus on delivering high-impact ML solutions, including: • Anomaly detection applied to video, gameplay, and QA data, • Computer vision and video stream analysis, • Research-led ML systems transitioning into real-world production environments, • Scalable, high-performance ML pipelines What We’re Looking For • 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 If this role looks of interest, please apply here!