
Machine Learning Engineer
- London
- Permanent
- Full-time
- Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
- Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
- Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
- Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.
- Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition).
- Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis.
- Collaborate with cross-functional teams to improve product and system performance.
- Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions.
- Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation.
- Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.
- Proven experience as a Machine Learning Engineer with at least 3 years of professional experience.
- Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras.
- Experience with image processing, feature extraction, and text preprocessing techniques.
- Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis.
- Hands-on experience with large datasets and data pipelines for training and deploying ML models.
- Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
- Full professional English proficiency