Senior Machine Learning Engineer

My client is hiring for a senior, hands-on Machine Learning Engineering role focused on computer vision systems deployed into real-world environments.

This role is technical and delivery-led. It would suit someone with strong applied coding and ML experience who has spent several years working in production, customer-facing environments, ideally with deep computer vision expertise and a clear track record of deploying, supporting, and iterating on live ML systems, rather than purely experimental or proof-of-concept work.

If you come from a vehicle, manufacturing, or industrial automation background, with experience deploying computer vision or ML systems into live production environments, this would be a strong advantage.

• Design, build, deploy, and iterate production-grade computer vision models
• Own ML systems end-to-end: from data and training through to deployment, monitoring, and iteration
• Deliver and support real customer deployments
• Collaborate closely with customers during deployment phases (requirements, constraints, trade-offs)
• Ensure models operate robustly in real-world conditions (changing data, environments, inputs)
• Integrate ML systems into existing customer environments, rather than greenfield platforms
• Contribute pragmatically within an experienced team, supporting collaboration and knowledge-sharing

• Strong AI / Machine Learning background with 8+ years of hands-on experience
• Clear evidence of production ML deployment (live, customer-facing systems)
• Experience deploying models that must perform reliably in real-time or near-real-time environments (e.g. PyTorch with ONNX or TorchScript, TensorRT, OpenCV)
• Comfortable owning deployed systems beyond initial launch
• Strong communication skills, including being client-facing when required
• Practical engineering judgement and a can-do mindset

For more details, click apply or email

Candidates must be happy to commute to Manchester on a weekly basis.

Unfortunately, this role does not offer visa sponsorship, now or in the future.