Senior Platform / MLOps Engineer, Callsign

Salary not provided

AWS

Kubernetes

Python

Terraform

Prometheus

Datadog

Senior level

London

2+ days a week in office

Real-time authentication platform

Job no longer available

Real-time authentication platform

201-500 employees

B2BArtificial IntelligenceSecurityDeep TechMachine LearningIdentity

Job no longer available

Salary not provided

AWS

Kubernetes

Python

Terraform

Prometheus

Datadog

Senior level

London

2+ days a week in office

201-500 employees

B2BArtificial IntelligenceSecurityDeep TechMachine LearningIdentity

Company mission

To seamlessly power the identification of every web, mobile and physical interaction.

Job

Company

Role

Who you are

Strong software engineering skills in Python, including unit and integration testing
Knowledge of infrastructure as code, preferably terraform with AWS
Experience with Kubernetes cluster administration, deployment and scaling of services
Experience building CI/CD pipelines such as in Gitlab CI/CD
Experience with monitoring tools like prometheus and observability frameworks such as New Relic or Datadog
Experience in deploying and monitoring ML models
Desirable to have knowledge of ETL pipelines and data warehouses

What the job involves

We are looking for a new member to join our Machine Learning Engineering team
Architect and implement scalable and resilient AWS infrastructure solutions, adhering to industry best practices
Administer and scale service deployments in our Kubernetes clusters
Develop and automate deployment processes using infrastructure-as-code and CI/CD
Oversee the deployment and monitoring of machine learning models in production
Help setup our data warehousing solution and feature store
Collaborate with the data science team to streamline the release process, enable continuous integration, and facilitate seamless deployments
Collaborate with cross-functional teams to comprehend application requirements and provide infrastructure recommendations to optimise performance, security, and cost-efficiency

Salary benchmarks

Our take

Callsign uses deep learning technology to analyse a variety of real time signals such as the GPS location, force of touch and screen co-ordinates to identify potentially suspicious usage of a device. Collaborating with Lloyds bank, the company's technology helps to mitigate unauthorised access while providing a seamless user experience.

Callsign is not the only company in this area, and faces competition from other firms such as AimBrain, Behaviosec, and BioCatch. To stand out, its AI system takes into account a combination of different factors to improve its accuracy and reliability. It has also built security in, with all data encrypted on the device itself before being sent to the server.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

18% employee growth in 12 months

Glassdoor (3)

Company

Funding (last 2 of 4 rounds)

Jun 2023

$75.1m

LATE VC

Jul 2017

$35m

SERIES A

Total funding: $113.9m

Company benefits

Health & wellbeing - From health insurance to discounted gym memberships to childcare vouchers, we constantly invest in the health and wellbeing of our teams
Learning - Collective growth is one of our core values. Learning opportunities and learning support are core to the Callsign experience
Family benefits - As well as personal health and wellbeing benefits, we also offer various other discounts like home utilities and childcare vouchers
Holidays - In addition to 25 days annual leave (on top of bank holidays), you'll also get an additional Callsign bank holiday in June
Flexible working hours - We've all got different priorities and pressures in our lives. Our flexible working policy will help lighten the load
Multiple locations - We know that different people work best in different environments – that's why we offer opportunities for flexibility in your working environment

Company HQ

City of London, London, UK

Leadership

Zia Hayat

(CEO)

Previously held positions at Accenture, BAE Systems and Lloyds, where he designed and delivered critical military and financial information systems.

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