Applied Science Manager – Computer Vision, ML

🕒 May 28

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

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Entrust

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🔒 Cybersecurity

💸 Finance

🏛️ Government

Cybersecurity • Finance • Government

Entrust is a leading company in the identity and data security industry, offering a comprehensive range of solutions designed to protect identities, secure data, and facilitate safe digital interactions across various sectors. The company specializes in identity-centric security, multi-cloud security, post-quantum cryptography, digital onboarding, and compliance solutions tailored for industries such as financial services, government, enterprise, education, and healthcare. Entrust provides an array of products including payment and credentials issuance, identity verification and management, electronic and digital signing, data protection, hardware security modules, and public key infrastructure. With a focus on securing digital transformations and enabling zero trust strategies, Entrust is dedicated to helping its clients protect their assets, secure every digital interaction, and accelerate growth while preparing for a secure post-quantum future.

📋 Description

• Define the team's roadmap together with product and engineering leads. • Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities. • Manage a team of 6 Applied Scientists. • Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code. • Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning. • Publish research results in national and international conferences and scientific journals.

🎯 Requirements

• Have 2+ years of experience leading a team of ML scientists or research engineers. • Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer. • Have strong experience in machine learning and computer vision. • Have a strong record of successfully delivering high-performance ML-driven products. • Have a deep understanding of machine learning theory. • Have strong coding skills in Python and PyTorch. • Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning. • Published at top-level machine learning conferences. • Experience optimizing (distributed) training code.

🏖️ Benefits

• Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority. • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle. • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. • Diversity and inclusion: Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.