Lead Computer Vision & ML Engineer - Real-Time Defense

Chess Dynamics Ltd; Wokingham; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Group pension plan

Income protection scheme

Employee Assistance Programme

Life assurance policy

Job summary

Chess Dynamics is seeking an innovative algorithms engineer to join our team, developing next-generation intelligent sensing and computer vision capabilities for defence applications including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems, multi-domain surveillance, and autonomous platforms.

The successful candidate will tackle real-world perception problems by combining machine learning, computer vision, signal processing, and statistical

Qualifications

• Degree in a relevant technical discipline (CS/AI/Engineering/Math/Physics).
• Proven experience developing and deploying ML/vision algorithms in production or near-production systems.
• Experience with modern computer vision architectures including object detection, image classification, and transformers.
• Strong ability to analyse image datasets and debug model performance.

Responsibilities

• Research, develop, and evaluate computer vision algorithms for image classification, object detection, and recognition.
• Investigate challenging problems with structured experiments and evidence-based methods.
• Design datasets, evaluation methods, and automated pipelines for ML development.
• Analyse model performance, identify failure modes, and implement solutions for real-time systems.
• Develop tools to improve automation, repeatability, and efficiency across ML lifecycles.
• Stay updated with advances in CV/AI and apply new technologies where appropriate.

Skills

Machine learning

Computer vision

Python

C++ production

Transformers

Education

Degree in CS/AI/Engineering/Math/Physics

Tools

OpenCV

PyTorch

CUDA

Linux

Job description

Chess Dynamics is seeking an innovative algorithms engineer to join our team, developing next-generation intelligent sensing and computer vision capabilities for defence applications including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems, multi-domain surveillance, and autonomous platforms.

The successful candidate will tackle real-world perception problems by combining machine learning, computer vision, signal processing, and statistical