Senior Applied Scientist

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Role Description

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

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  Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
  


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  Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
  


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  Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.
  


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  Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
  


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  Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
  


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  Communicate technical vision and roadmap at multiple levels within the organisation and externally.
  


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  Publish research results in national and international conferences and scientific journals.
  


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  Represent Entrust at national and international scientific conferences.
  


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  Contribute to filing patents.
  

Qualifications

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  Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.
  


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  Track record of successfully delivering high performance ML-driven products.
  


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  Worked with customers to impactfully solve their problems.
  


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  Deep understanding of machine learning theory.
  


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  Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.
  

Requirements

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  Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.
  


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  Technical experience with signal processing and image processing techniques.
  


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  Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.
  

Benefits

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  25 days annual leave plus a day off for your Birthday.
  


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  Two paid volunteering days per year.
  


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  Bupa Private Medical and Dental Insurance.
  


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  Life Assurance (3x Annual Base Salary).
  


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  Pension with The People’s Pension (employer contribution 4% of base salary).
  


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  Generous paid parental leave.
  


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  Free mental health coaching provided online.
  


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  Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy.
  


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  Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more.
  


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  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.
  


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  Expense up to £300 (or local equivalent) to purchase workstation setup equipment.
  


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  The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups.
  

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