Staff Machine Learning Engineer

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!