Applied Scientist Lead - Computer Vision in London

Applied Scientist Lead - Computer Vision in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Entrust

At a Glance

  • Tasks: Lead a team of scientists in developing cutting-edge vision-language models and efficient ML solutions.
  • Company: Entrust, a leader in identity-centric security solutions with a collaborative culture.
  • Benefits: Career growth opportunities, flexible work options, and a focus on professional development.
  • Other info: Join a diverse team committed to innovation and building a secure world together.
  • Why this job: Make a real impact by tackling visual fraud at scale with innovative technology.
  • Qualifications: Experience in machine learning, leadership skills, and strong coding abilities in Python and PyTorch.

The predicted salary is between 80000 - 100000 £ per year.

Join us at Entrust. At Entrust, we’re shaping the future of identity-centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Get to Know Us. Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

Entrust Identity Verification — Powering the systems behind digital trust. At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behaviour, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide.

About the Team: You’ll join a high-calibre Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments.

Position Overview: We’re looking for an Applied Scientist Lead - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB>

What you will be doing:

  • 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.

You may be a good fit if you:

  • 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.

Strong candidates may also have:

  • 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.

What are we looking for? An Applied Scientist Lead excels in three areas:

  1. Scientific Contributions: This person must shine as an example through past work and scientific drive within the team. They will continue to make direct contributions through side projects and, more often, by influencing the team’s work with unique ideas. The goal of our team is also to positively impact the broader community, so this person should stand out through external contributions such as publications, talks, and open-source work.
  2. Leadership & People Management: This person must be passionate about growing the people on their team. Applied Scientists often require dedicated and thoughtful support due to the inherently unpredictable nature of their work.
  3. Product and Business Acumen: We are a product-centric and customer-centric company, so our work should strive to deliver meaningful product impact. This person must deeply care about both the product and the business, and excel at building long-lasting relationships across cross-functional teams including Product, Design, Engineering, and Analytics.

Where you will be: London, UK or Paris, France (Hybrid – 3 days in office)

Why join us? Solve problems that matter—at scale. At Entrust, we combine cutting-edge research with a deeply product-oriented culture—where ideas don’t stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale—from deepfakes and synthetic identities to sophisticated spoofing attacks. You’ll lead teams, shape ML direction, and build models that must perform in the real world—under adversarial conditions, across global systems, and with real consequences. If you’re motivated by turning advanced research into production-grade systems—and pushing the frontier while doing it—this is the kind of work worth doing.

Apply today!

At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:

  • 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.

We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. 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.

Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.

Apply today!

Applied Scientist Lead - Computer Vision in London employer: Entrust

Entrust is an exceptional employer that prioritises career growth and collaboration in a dynamic, inclusive environment. With a strong focus on cutting-edge research and product impact, employees are empowered to innovate while enjoying flexible work arrangements in vibrant locations like London and Paris. The company fosters a culture of diversity and respect, ensuring that every team member's voice is valued as they contribute to meaningful solutions in identity-centric security.

Entrust

Contact Details:

Entrust Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied Scientist Lead - Computer Vision in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Entrust. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects related to computer vision or machine learning, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion.

Tip Number 3

Prepare for those technical interviews! Brush up on your coding skills in Python and PyTorch, and be ready to discuss your past projects. Practice common ML problems and be prepared to explain your thought process.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Entrust team.

We think you need these skills to ace Applied Scientist Lead - Computer Vision in London

Machine Learning
Computer Vision
Vision-Language Modelling
Document Understanding
Few-Shot Learning
Distillation
Quantisation

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Applied Scientist Lead role. Highlight your experience in machine learning and computer vision, and show how your skills align with our mission at Entrust.

Showcase Your Leadership Skills:Since this role involves managing a team, don’t forget to emphasise your leadership experience. Share examples of how you've supported and grown your team members in previous roles.

Demonstrate Your Technical Expertise:We want to see your coding skills in action! Include specific projects or contributions that showcase your proficiency in Python and PyTorch, especially in areas like vision-language modelling and efficient ML.

Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, your application will be seen by the right people who are eager to find the next great addition to our team!

How to prepare for a job interview at Entrust

Know Your Stuff

Make sure you brush up on the latest trends in computer vision and machine learning. Familiarise yourself with vision-language models, distillation, and quantisation techniques. Being able to discuss recent papers or breakthroughs will show your passion and expertise.

Showcase Your Leadership Skills

Since this role involves leading a team, be prepared to share examples of how you've successfully managed and mentored others. Highlight your approach to fostering collaboration and innovation within your team, as well as any challenges you've overcome.

Connect the Dots

Demonstrate how your technical skills translate into real-world applications. Discuss how your past projects have impacted product development or user experience, especially in areas like fraud detection or identity verification. This will show that you understand the business side of things.

Ask Insightful Questions

Prepare thoughtful questions about Entrust's current projects, team dynamics, and future goals. This not only shows your interest in the company but also helps you gauge if it's the right fit for you. Think about how you can contribute to their mission of enhancing digital trust.