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Machine Learning Engineer

Corsearch
London
1 week ago
Applications closed

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Machine Learning Engineer

Machine Learning Engineer

Trusted by over 5,000 customers worldwide, Corsearch delivers AI-powered data, deep analytics, and professional services that support brands to market their assets, drive growth, and optimise brand presence against infringement. 

Corsearch enables brand owners to discover, monitor and control the use and misuse of their brands and associated products and services online and is the industry market leader. 

Corsearch does this in an increasingly complex global digital environment, with online brand protection solutions that cover everything from anti-counterfeiting to anti-piracy.

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At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.

As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.

Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Why Choose Corsearch?


  • 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.

✅The Role

As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands.

You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions.

Collaborating with Corsearch’s global team of data scientists, engineers, and brand protection experts, you’ll help drive innovation in brand protection and online content monitoring, ensuring our clients stay ahead in a rapidly evolving digital landscape.

✅Responsibilities and Duties


  • 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.

✅Essential


  • 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

Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.


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