Real-Time Computer Vision Engineer, Production-Focused

Adria Solutions Ltd

England

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

A technology company in the UK is seeking a Senior Computer Vision Engineer to lead model deployment and optimisation in production settings. This hands-on position will focus on real-time computer vision, including optimising models and managing video pipelines within performance constraints. Ideal candidates will have strong Python skills, experience with PyTorch, and practical knowledge of video processing frameworks. Join a team that values pragmatic problem-solving and effective communication.

Qualifications

  • Senior engineer who remains hands-on with models and code.
  • Comfortable working outside of pure research environments.
  • Pragmatic problem-solver who understands production trade-offs.
  • Enjoys debugging complex, real-world systems.
  • Clear communicator who documents work effectively.

Responsibilities

  • Own model deployment and optimisation in production environments.
  • Collaborate closely with systems engineers.
  • Optimise models and video pipelines under performance constraints.

Skills

Strong Python experience for ML and inference workflows
Hands-on experience with PyTorch
Experience deploying models into production environments
Practical experience with video processing frameworks
Experience optimising inference performance on GPU
Edge AI or embedded GPU platforms
Real-time or multi-stream video pipelines
TensorRT, ONNX, or similar optimisation toolchains
Containerised ML or inference deployments
Balancing model accuracy vs. inference speed

Job description

A technology company in the UK is seeking a Senior Computer Vision Engineer to lead model deployment and optimisation in production settings. This hands-on position will focus on real-time computer vision, including optimising models and managing video pipelines within performance constraints. Ideal candidates will have strong Python skills, experience with PyTorch, and practical knowledge of video processing frameworks. Join a team that values pragmatic problem-solving and effective communication.
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