Principal Machine Learning Engineer

Harnham • United Kingdom
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead technically, drive delivery, and mentor others in AI and machine learning. Develop anomaly detection systems, computer vision models, and applied research. Collaborate with engineering and research stakeholders.

Key Highlights
Lead design of anomaly / defect detection systems for automated QA
Build and optimize computer vision models on video data
Drive applied research into production
Key Responsibilities
Lead design of anomaly / defect detection systems for automated QA
Build and optimise computer vision models on video data
Drive applied research (e.g. self-supervised, multimodal, VLM-adjacent work) into production
Own end-to-end ML lifecycle from experimentation to deployment
Provide technical mentorship and delivery planning across projects
Collaborate with engineering and research stakeholders to scale systems
Technical Skills Required
Python PyTorch TensorFlow video/CV systems production ML tooling
Benefits & Perks
£140,000–£210,000 base
20%-30% bonus
London – 1 day per month onsite

Job Description


Do you want to shape how AI transforms game development at global scale?

Have you built production ML systems that go beyond research prototypes?

Are you ready to lead technically without taking on line management?


A tier-1 global gaming and consumer technology brand is hiring a Principal Machine Learning Engineer into its Research function in London. This team sits at the forefront of applied AI, building systems that improve how large-scale games are tested, validated, and shipped. The focus is on automating QA through intelligent gameplay agents and advanced video-based ML systems.


You will lead technically, drive delivery, and mentor others while remaining hands-on across research and production.


Key Responsibilities

  • Lead design of anomaly / defect detection systems for automated QA
  • Build and optimise computer vision models on video data
  • Drive applied research (e.g. self-supervised, multimodal, VLM-adjacent work) into production
  • Own end-to-end ML lifecycle from experimentation to deployment
  • Provide technical mentorship and delivery planning across projects
  • Collaborate with engineering and research stakeholders to scale systems


Key Details

  • Salary: £140,000–£210,000 base
  • Bonus: 20%-30%
  • Working model: London – 1 day per month onsite
  • Tech stack: Python, PyTorch/TensorFlow, video/CV systems, production ML tooling
  • Visa: Sponsorship available


Interested? Please apply below.


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