Negotiable
Undetermined
Undetermined
United Kingdom
Summary: The Machine Learning Engineer (Object Detection) role involves designing, developing, and optimizing object detection models for an AI-focused company. The position requires collaboration with cross-functional teams to integrate AI features into the core product, leveraging expertise in Python and deep learning frameworks. Candidates should have a strong background in computer vision and experience with model deployment on edge devices. This role offers opportunities for professional growth in a dynamic work environment.
Key Responsibilities:
- Design and implement object detection algorithms using modern deep learning frameworks.
- Build, train, and evaluate custom models for various detection tasks.
- Develop data pipelines and prepare datasets for training and validation.
- Optimize model performance for accuracy, speed, and memory efficiency.
- Convert and integrate models into mobile/edge platforms using tools like CoreML, ONNX, or TensorFlow Lite.
- Collaborate with cross-functional teams to understand product requirements and deploy models to production.
- Continuously monitor and improve model performance based on real-world data and feedback.
Key Skills:
- 3+ years of experience in machine learning with a focus on computer vision and object detection.
- Proficiency in Python, along with solid understanding of data structures and algorithms.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of CNNs, bounding box regression, and evaluation metrics (mAP, IoU, etc.).
- Familiarity with model optimization techniques like pruning, quantization, and distillation.
- Experience training and deploying custom models on real-world datasets.
- Excellent problem-solving and debugging skills.
- Experience with CoreML and running models on iOS or edge devices is a plus.
- Knowledge of ONNX, TensorFlow Lite, or other model conversion tools.
- Familiarity with real-time video processing and hardware acceleration (e.g. GPU, NPU).
- Experience with MLOps tools for model versioning and deployment.
- Prior work on AI features in consumer-facing applications.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT