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A global brand protection leader in London is seeking a Machine Learning Engineer to design and optimize AI models for image and text processing. The role involves developing state-of-the-art technology to enhance brand safety and online content monitoring. Candidates should have over 3 years of experience in machine learning, with strong skills in frameworks like TensorFlow and PyTorch. This full-time position offers a hybrid work environment.
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.
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.
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.
Department: AI & Data Science | Role: Machine Learning Engineer | Locations: United Kingdom (London) | Remote status: Hybrid | Employment type: Full-time