Machine Learning Engineer (Computer Vision)

Platform Recruitment
Oxford, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
£85,000.0 - £160,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computer Vision Google Analytics Python (Programming Language) Machine Learning Object Detection Tensorflow Pytorch Information Technology Machine Learning Operations

Job description

We would also like to set additional cookies to enhance your user experience, help us understand how you use TopCountyCareers, and improve our services., We use Google Analytics to collect this data which will set cookies on your device. Please be assured however that this data is collected in a way that cannot be used to directly identify anyone and is never shared with other third-parties., You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects.

Requirements

We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments.

This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts., * A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline

  • At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role
  • Strong Python programming skills
  • Experience with PyTorch, TensorFlow, or similar machine learning frameworks
  • Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking
  • Experience working with real-world datasets and deploying models into production environments
  • Strong communication skills and the ability to work within a multidisciplinary team

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