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Machine Learning Engineer (Computer Vision)

Platform RecruitmentPampisford, Cambridge🇬🇧United KingdomPosted 13 Jul 2026

Why This Role Stands Out

This hybrid Machine Learning Engineer role offers a fantastic opportunity to drive innovation in computer vision, taking models from research to production within a reputable company. You'll thrive here if you have a strong technical background and enjoy collaborative problem-solving, with a competitive salary and significant career growth potential. Apply today to join a dynamic team and make a real impact!

Quick Overview

Salary
£160k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Pampisford, Cambridge, United Kingdom
Posted
6 weeks ago
Machine LearningComputer VisionPyTorchPythonTensorFlow

Job Description

Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to £160,000 (DOE) 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. The Role 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

  • 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 If this role is of interest, please apply below

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