Senior MLOps Engineer, Quantexa

Salary not provided

+ Bonus

Docker

Kubernetes

Python

Scala

Jenkins

Spark

Kubeflow

Senior and Expert level

London

Helping businesses spot criminal activity in their data

Be an early applicant

Helping businesses spot criminal activity in their data

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalytics

Be an early applicant

Salary not provided

+ Bonus

Docker

Kubernetes

Python

Scala

Jenkins

Spark

Kubeflow

Senior and Expert level

London

501-1000 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalytics

Company mission

To bring innovation and confidence in decision-making to every industry in the world by driving the switch to contextual data.

Job

Company

Role

Who you are

Technical experience in data engineering or data science roles
An understanding of the machine learning development lifecycle, including model development, deployment, monitoring, and maintenance
Experience with Quantexa would be advantageous
Strong programming skills in Python and experience with common ML libraries
Experience with big data tools, such as Spark
Experience with containerization and orchestration technologies like Docker, Helm, and Kubernetes
Familiarity with DevOps tools such as Jenkins, or similar for workflow automation

Desirable

Experience deploying machine learning models into production and managing their lifecycle
Experience implementing model governance, including versioning, monitoring, drift detection, and reporting
Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC
Programming skills in Scala
Experience working with ONNX and ONNX Runtime for model optimization and deployment
Experience mentoring or supporting colleagues to help them grow their technical skills

What the job involves

We’re looking for an MLOps Engineer to help ensure our machine learning models run reliably and add value in production
In this role, you’ll focus on monitoring, maintaining, and integrating models into products, while also helping data scientists move models from research into production

Salary benchmarks

Our take

Quantexa specialises in data connectivity, offering companies a vital tool to streamline their information. By bringing together diverse data sets and enhancing internal information with external resources, it enables organisations to generate valuable insights, facilitating more informed decision-making processes.

Since its inception in 2016, Quantexa has experienced exponential growth, establishing a global presence with offices spanning various continents. Its clientele includes prestigious names such as HSBC and Shell, underscoring its reputation as a trusted partner in the realm of data analysis and interpretation.

Enterprises today recognise the untapped potential within their data repositories, yet many lack the in-house expertise to effectively leverage this resource. Quantexta fills this gap, as evidenced by its strategic collaboration with the British government's Public Sector Fraud Authority, securing a Lucrative £4M contract in 2023. Through this alliance, Quantexa aims to combat fraud within the public sector by applying its advanced analytical capabilities to identify and address fraudulent activities.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

25% female employees

19% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 6 rounds)

Mar 2025

$175m

SERIES F

Apr 2023

$129m

SERIES E

Total funding: $545m

Company benefits

Pension Scheme with a company contribution of 6% (if you contribute 3%)
25 days annual leave (with the option to buy up to 5 days) + birthday off!
Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts
Tech & Cycle-to-Work Schemes

Company HQ

Waterloo, London, UK

Leadership

Vishal Marria

(CEO)

Previously an Executive Director at EY, and Director of Financial Services at BAE.

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