Machine Learning Engineer

This range is provided by TechShack. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from TechShack

Recruitment Consultant at TechShack London.

Machine Learning Engineer | Computer Vision, Python, PyTorch | Remote, up to £85k

We’re on the lookout for an experienced Machine Learning Engineer to take ownership of computer vision and imaging projects within a well backed start-up whose mission has real world impact with global reach.

This is a hands-on role where you’ll work across the full ML lifecycle, from research and prototyping through to deployment in production, developing and optimising models that are already having huge benefit to people.

What you’ll be working on

• Building and refining models for image classification, semantic segmentation, keypoint detection, and regression tasks.
• Applying your expertise in Python, PyTorch, and OpenCV to solve real-world imaging challenges.
• Optimising off-the-shelf models with proprietary datasets.
• Removing shadows, adjusting white balance, and improving accuracy in colour-based detections.
• Integrating ML models into mobile applications, supporting cross-platform deployment.

Must-have experience

• Strong background in Computer Vision, Machine Learning, and Deep Learning.
• Commercial experience with Python, PyTorch, and OpenCV in production environments.
• Proven track record delivering practical ML solutions to real-world problems.
• Knowledge of data augmentation, custom architecture design, and traditional CV algorithms.

Nice-to-have experience

• TensorFlow, TFLite, ONNX, and/or React Native.
• Model optimisation for mobile or embedded devices.

Location: remote (occasional travel)

Salary: up to £80k

Machine Learning Engineer | Computer Vision, Python, PyTorch | Remote, up to £85k

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Staffing and Recruiting

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