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!