Senior Applied Scientist

Onfido Ltd (UK); France; Hybride; EUR 60 000 - 85 000; Plein temps

Résumé du poste

Onfido Ltd is seeking a Senior Applied Scientist to spearhead AI-driven digital identity solutions. In this hybrid role, you will lead a talented team, mentor junior scientists, and shape the future of authentication technologies. Ideal candidates will possess extensive experience in machine learning and software engineering, with a focus on innovation and project leadership.

Prestations

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)

Generous paid parental leave

Free mental health coaching provided online

Life enrichment allowance up to £80 per month

Dedicated learning opportunities including tools like Learnerbly

Qualifications

• Strong experience in machine learning and computer vision.
• Experience deploying ML models to production.
• Track record of delivering high performance ML-driven products.

Responsabilités

• Lead the design and deployment of AI-powered identity solutions.
• Mentor junior scientists and foster technical excellence.
• Participate in hands-on machine learning research to deliver new products.

Connaissances

Machine Learning

Computer Vision

Technical Leadership

Python

Deep Learning (TensorFlow/PyTorch)

Formation

Master's or PhD in relevant field

Outils

AWS

Kubernetes

Docker

Git

Description du poste

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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.

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 generation 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 identity 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 national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences.

Contribute to filing patents.

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.

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.

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, visit . Follow us on, , , , and

NO AGENCIES, NO RELOCATION

#LI-GR1

#ENT123

Description

Position Overview:

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.

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 generation 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 identity 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 national and international conferences and scientific journals. Represent Entrust at national and 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 (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, visit . Follow us on, , , , and

NO AGENCIES, NO RELOCATION

#LI-GR1

#ENT123

Entrust is an EEO/AA/Disabled/Veterans Employer Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. Recruiter: Grace Rusingiza