Senior Computer Vision Engineer — CNNs & Vision Transformers

Hexwired Recruitment Limited; Greater London; On-site; GBP 68,000 - 97,000; Full time

Job summary

Hexwired Recruitment Limited seeks a Senior Computer Vision Engineer to develop and deploy cutting-edge AI/ML solutions, including CNNs and Vision Transformers. You will translate research into production-grade software and scalable ML pipelines while collaborating with engineers and researchers.

The role requires strong Python and PyTorch skills, experience in model evaluation and hyperparameter tuning, and familiarity with Linux/Windows environments.

Qualifications

• Develop, train and optimise computer vision models using CNNs, Vision Transformers and deep learning techniques.
• Translate AI research into reliable production-ready software and scalable ML pipelines.
• Strong Python programming skills and PyTorch; TensorFlow is advantageous.
• Experience with model evaluation, hyperparameter tuning, software testing, version control and CI/CD.
• Familiarity with Linux and Windows environments and collaboration with technical teams.
• An MSc, PhD or equivalent industry experience in AI, ML or computer vision.

Responsibilities

• Develop, train and optimise computer vision models using CNNs, Vision Transformers and deep learning techniques.
• Translate AI research into reliable production-ready software and scalable ML pipelines.
• Collaborate with engineers and researchers to deploy advanced AI solutions.
• Ensure robust software testing, version control and CI/CD practices.
• Work in Linux and Windows environments and communicate with cross-functional teams.

Skills

CNNs

Vision Transformers

Deep learning

Python

PyTorch

Hyperparameter tuning

Model evaluation

Software testing

Version control

CI/CD

Linux

Windows

Team collaboration

Education

MSc/PhD or equivalent AI/ML/CV

Tools

Python tooling

PyTorch

TensorFlow

Job description

Hexwired Recruitment Limited seeks a Senior Computer Vision Engineer to develop and deploy cutting-edge AI/ML solutions, including CNNs and Vision Transformers. You will translate research into production-grade software and scalable ML pipelines while collaborating with engineers and researchers.

The role requires strong Python and PyTorch skills, experience in model evaluation and hyperparameter tuning, and familiarity with Linux/Windows environments.