The Company:

Entrust relies on curious, dedicated and innovative individuals whom anticipate the future and provide solutions for a more connected, mobile and secure world. Entrust’s technologies and expertise help government agencies, enterprises and financial institutions in more than 150 countries serve and safeguard citizens, employees and consumers.

We Believe:Securing identities is most effective when we value all identities. We are committed to ensuring that, through diversity and inclusion, the many voices that make up our communities are heard. From unconscious bias training for managers to global affinity groups that create connections both within and across our enterprise, Entrust expects and encourages all individuals to accept and respect one another. And, of course, to be themselves.

We are looking forSenior Software Engineer - ML

Position Overview:

As Entrust tackles the problem of bringing identities online, this means taking on the challenges of bringing both Biometrics and ID Documents into the virtual world. The work you could come help us solve will involve:

Develop state-of-the-art machine learning-backed services for automated biometric verification, document classification and extraction, as well as fraud analysis.

Build automated pipelines capable of minimising the time and effort of bringing support to new models and capabilities.

Iterate over research projects to optimise them and deploy them to production.

Continuously improve monitoring and tracing to provide a highly available service for our customers.

We deeply value trust and ownership. Our engineers, product managers and designers work together closely to solve a challenging problem - identity in an online world - and build products that are polished and impactful.

What you will do:

Work in a cross-functional team to design, build, test and ship fraud-catching products.

Work closely with researchers to take research developed ML models to production.

Use off-the-shelf machine learning solution to provide simple initial solutions for fraud detection.

Design and implement efficient pre-processing steps around digital images or video files

Extend existing ML pipeline to fit an increasing array of use cases

Analyze algorithmic performances and identify common issues and potential improvements.

Provide technical guidance, support and advice to other engineers at Entrust

Who you are:

Good knowledge and experience with Python

Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX

Interested in developing, deploying and monitoring production-facing machine learning systems

You're enthusiastic and technically curious about ML technologies

Capable with testing frameworks, such as PyTest

Experience with dependency management tools (e.g. Poetry)

Nice to have:

Knowledge of Docker and Kubernetes

Familiarity with various different image and video file formats

Understanding of Computer Vision and standard Machine Learning algorithms (like decision trees, neural networks, support vector machines, clustering,…)

Tech Stack:

We are technology agnostic at Entrust We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.

Backend: mostly Python and Ruby at Entrust

Frontend: React and Typescript

ML: Tensorflow, Jupyter, Dask

Kubernetes and Docker for deployment

AWS for underlying infrastructure (Aurora, Redis, Dynamo, S3, SNS, SQS, CloudFront, API Gateway, etc.)

Gitlab for software lifecycle management.

The technologies we use most frequently in Machine Learning are Python (3.x), Git, gRPC, WANDB, async-io, Tensorflow (and tf-serving), ONNX, OpenCV, Docker and Kubernetes.

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

*after passing probation

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

Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer.

#LI-NR1 #LI-Remote

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:

Neha Rathore