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!
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