Machine Learning Engineer

The Machine Learning Engineer position centres on developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. It would suit someone who can bring strong professional approach to the role.

What the work leans on

Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote. This full-time Machine Learning Engineer position is based Onsite in our brand-new Ultralytics office in London, UK.

Where the technical work sits

• Developing, training, and validating state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification.
• Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework.
• Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX.

Technical requirements

• 5+ years of professional experience in Machine Learning Engineering or a similar role.
• Proven experience with computer vision and a strong understanding of model architectures like transformers and CNNs.
• Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO.

What helps delivery stay steady

Strong professional approach.

Practical details

• Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
• Employment type: Full-time.
• Startup Equity: Participate directly in our company\'s growth and success.
• Gear: Brand-new Apple MacBook and Apple Display provided.

Requirements mentioned

• Excel

Job details

• Benefits mentioned: Training