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Senior Applied Scientist - Computer Vision

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London

Hybrid

GBP 50,000 - 100,000

Full time

12 days ago

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Job summary

Join a forward-thinking company as a Senior Applied Scientist and lead the development of innovative AI solutions that enhance digital security. In this pivotal role, you'll guide a talented team, driving projects that transform cutting-edge concepts into real-world applications. Collaborate with engineers and researchers to create robust systems capable of thwarting sophisticated fraud attempts. This role offers the flexibility of a hybrid work model, allowing you to choose between remote work or office presence. If you're passionate about AI and eager to make a significant impact, this opportunity is perfect for you.

Benefits

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 employer contribution
Generous paid parental leave
Free mental health coaching
Life enrichment allowance up to £80 per month
Dedicated learning opportunities
Expense up to £300 for workstation setup

Qualifications

  • Strong experience in machine learning and computer vision.
  • Deep understanding of machine learning theory and coding skills in Python.

Responsibilities

  • Lead a team of applied AI scientists in developing AI-powered solutions.
  • Drive projects for digital onboarding products to combat fraud.

Skills

Machine Learning
Computer Vision
Python
Deep Learning Frameworks (TensorFlow, PyTorch)
Problem Solving
Machine Learning Theory

Tools

AWS
Kubernetes
Docker
Git

Job description

Job Description

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication.

What you will be doing:

  • Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
  • Initiate, plan and drive projects that will bring the next of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
  • Design and build high performance end to end systems spanning all parts of the verification application from data acquisition, data processing, and post processing.
  • Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
  • Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
  • Communicate technical vision and roadmap at multiple levels within the organisation and externally.
  • Publish research results in international conferences and scientific journals. Represent Entrust at international scientific conferences.
  • Contribute to filing patents.

Essential Skills:

  • Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.
  • Track record of successfully delivering high performance ML-driven products.
  • Worked with customers to impactfully solve their problems.
  • Deep understanding of machine learning theory.
  • Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.

Desirable Skills:

  • Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.
  • Technical experience with signal processing and image processing techniques.
  • Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.

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 (On Thursday); 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 -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, visit www.entrust.com. Follow us on LinkedIn, Facebook, Instagram, and YouTube.

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