National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Applied Scientist II - Computer Vision

Entrust
City of London
5 days ago
Create job alert

Position Overview:

We are looking forApplied Scientist IIto play a key part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication.


What you will be doing:

  • Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
  • Communicate your results to the Science team, Engineering and Product teams
  • Participate in the machine learning life of the team (reading groups, etc.)
  • Learn best machine learning practices from a team of senior applied scientists


Essential Skills:

  • Formal training in machine learning and computer vision
  • Coding experience in python
  • Experience working with at least one deep learning framework (pytorch or tensorflow)
  • A strong willingness to learn
  • Highly collaborative mindset
  • A strong interest for a product-centric organization


Desirable Skills:

  • Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git


Where you will be:

At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them.


Benefits:

We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

  • 25 days annual leave plus a day off for your Birthday.
  • Two paid volunteering days per year. *
  • Bupa Private Medical and Dental Insurance*
  • Life Assurance (3x Annual Base Salary) *
  • Pension with The People’s Pension (employer contribution 4% of base salary) *
  • Generous paid parental leave
  • Free mental health coaching provided online
  • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
  • Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
  • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
  • Expense up to £300 (or local equivalent) to purchase workstation setup equipment
  • The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups



About Entrust

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.


For more information, visitwww.entrust.com. Follow us on,LinkedIn,Facebook,Instagram, andYouTube


NO AGENCIES, NO RELOCATION

Related Jobs

View all jobs

Data Scientist II, FinOps - Global Finance Solution

Data Scientist II, Regulatory Intelligence, Safety, and Compliance (RISC)

Senior Applied Scientist - Computer Vision

Deep Learning Scientist

Senior Data Scientist

Data Scientist – Applied Immunology

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.