AI & Computer Vision Engineer — Bristol

Cirrus Selection

Filton

On-site

GBP 52,000 - 64,000

Full time

14 days+

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Benefits offered by this job

Company bonus
Pension contributions
Overtime opportunities
Flexible leave

Job summary

Cirrus Selection Limited is recruiting an experienced Computer Vision and Artificial Intelligence Engineer to research, develop and evaluate advanced algorithms used in high-performance engineering systems.

The role sits in a specialist image processing team and combines imaging, computer vision, ML and signal processing to shape technical solutions and guide design decisions. You will collaborate with multidisciplinary teams and apply cutting-edge techniques to real engineering challenges.

Qualifications

  • A degree with strong mathematical content.
  • A PhD in a relevant discipline or equivalent research/industry experience is advantageous.
  • Interest in advanced algorithms, AI and emerging technologies.

Responsibilities

  • Research, develop and evaluate image processing and computer vision algorithms.
  • Apply AI and deep learning techniques to complex technical challenges.
  • Develop solutions for segmentation, detection, tracking and classification.
  • Explore optical flow, pose estimation, particle filtering and computational imaging.
  • Work with MATLAB, Simulink and Python (including PyTorch).
  • Collaborate with multidisciplinary engineering teams to evaluate new technologies.

Skills

Computer vision
Deep learning
Image processing
Python

Education

STEM degree
PhD advantageous

Tools

MATLAB
Simulink
Python

Job description

Cirrus Selection Limited is recruiting an experienced Computer Vision and Artificial Intelligence Engineer to research, develop and evaluate advanced algorithms used in high-performance engineering systems.

The role sits in a specialist image processing team and combines imaging, computer vision, ML and signal processing to shape technical solutions and guide design decisions. You will collaborate with multidisciplinary teams and apply cutting-edge techniques to real engineering challenges.

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