Staff Machine Learning Engineer

Job description

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!

Extra information

Status

Open

Education Level

Secondary School

Location

United Kingdom

Type of Contract

Full-time jobs

Published at

25-01-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English