At a Glance
- Tasks: Lead a team of scientists to innovate in computer vision and machine learning.
- Company: Join Entrust, a leader in identity-centric security solutions.
- Benefits: Flexible work options, career growth opportunities, and a collaborative culture.
- Other info: Diverse and inclusive workplace focused on professional development.
- Why this job: Make a real impact by tackling visual fraud at scale with cutting-edge technology.
- Qualifications: Experience in machine learning, leadership, and strong coding skills required.
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 mature 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 a Lead Applied Scientist - 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 tiny 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 core areas:
- Scientific Contributions: This person must shine as an example by their past work and their scientific drive with their team. They will continue to make direct contributions themselves through side projects and more often, by influencing the work in their team with unique ideas. The goal of our team is also to impact the community in a positive way. This person must therefore shine through their contributions to the external world (publications, talks, open-source).
- Leadership & People Management: This person must be passionate about growing people in their team. Applied Scientists often need dedicated and deep attention due to the low predictability of their work.
- Product and business acumen: We are a product-centric and customer-centric company. Therefore, our work should strive to impact the product significantly. This person must therefore deeply care about the product and the business. They must excel at building long-lasting relationships in cross-functional teams (Product, Design, Engineering, Analytics).
Where you will be: London, UK (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!
Lead Applied Scientist - Computer Vision in London employer: Entrust
Entrust is an exceptional employer that prioritises career growth and flexibility, offering a dynamic work environment in London where innovation meets collaboration. With a strong commitment to diversity and inclusion, employees are empowered to contribute to meaningful projects that shape the future of digital trust. Join us to be part of a team that values your voice and fosters professional development while tackling real-world challenges in identity-centric security solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Applied Scientist - 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. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in vision-language models and efficient ML techniques. Being able to discuss these topics confidently will show that you’re not just a candidate, but a thought leader in the field.
✨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 Lead Applied Scientist - Computer Vision in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Applied Scientist 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 successfully led projects or mentored others in the field of applied science.
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 or document understanding.
Apply Through Our Website:For the best chance of success, make sure to submit your application through our official website. This way, we can easily track your application and get back to you faster!
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
As a Lead Applied Scientist, you'll need to demonstrate your ability to manage and inspire a team. Prepare examples of how you've successfully led projects or mentored others in the past. Highlight your approach to fostering collaboration and innovation within your team.
✨Connect with Their Mission
Entrust is all about identity-centric security solutions. Make sure you understand their products and how they impact users globally. Be ready to discuss how your work can contribute to their mission of building trust and security in digital environments.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Brush up on your coding skills, especially in Python and PyTorch. Be prepared to solve problems on the spot or discuss your previous projects in detail, showcasing your problem-solving abilities.