Machine Learning Engineer, FXC Intelligence

MLOps

Salary not provided

$5,000 to $6,500 per month

AWS

GCP

Python

Terraform

Azure

Kubeflow

Junior, Mid and Senior level

Remote in EU, UK

Specialist provider of global payments data

Be an early applicant

Specialist provider of global payments data

21-100 employees

FintechB2BPaymentsMarket researchData Analysis

Be an early applicant

Salary not provided

$5,000 to $6,500 per month

AWS

GCP

Python

Terraform

Azure

Kubeflow

Junior, Mid and Senior level

Remote in EU, UK

21-100 employees

FintechB2BPaymentsMarket researchData Analysis

Company mission

FXC Intelligence's mission is to break the mould for industry standard global payments data.

Job

Company

Role

Who you are

Experience with deploying, testing and monitoring Machine Learning (ML) models
Experience with data orchestration/pipelines and data warehousing
Good working knowledge of Python and data science libraries
Operational familiarity with Machine Learning (ML) Infrastructure tools such as Kubeflow, MLFlow and neptune.ai
An understanding of continuous integration and continuous deployment practices, as well as experience with tooling like GitHub actions and Gitlab CI

Desirable

Familiarity with cloud (AWS, GCP, Azure)
Knowledge of Infrastructure as Code (Terraform, Terragrunt)

What the job involves

We are looking for a Machine Learning (MLOps) Engineer to join our DataOps team, a new and growing team within FXC Intelligence with a focus on being the intermediary between Data Platform and DevOps teams, supporting our AWS migration and working closely with the AI team
Building and maintaining our data infrastructure using DevOps and Data Engineering practices, prioritising the needs of stakeholders
Collaborate with Data Practitioners across the company to gain an understanding of their pains and needs and support them where engineering or data science experience is required
Help Data Scientists and Machine Learning (ML) Engineers write reliable code and ship it to clients
Help Data Analysts and other people in the business by providing the necessary tools and processes
Collaborate with the DevOps team regarding standards and best practices for working with infrastructure in the company
Participate in the migration from on-prem to AWS in the area of data infrastructure
Collaborate with the evolution of the data stack, focusing on scalability, reliability and transparency
The DataOps team is a new and growing team within FXC, serving as a critical intermediary between the Data Platform team and DevOps, focusing on implementing core functionalities for databases and ETL/ELT tools
The team plays a key role in the migration of infrastructure to AWS, ensuring efficiency and scalability
DataOps also collaborates closely with the AI team to develop and maintain machine learning pipelines, supporting the deployment and management of AI models

Application process

Contact: Charlotte Meek

Our take

FXC Intelligence is the self-proclaimed 'industry standard' for cross-border payments data. It focuses on creating and developing high grade datasets, which give businesses in the card and international payments sector access to deep, predictive analysis. Its services are used by clients ranging from banks to regulators - all of whom need access to quality data in what can otherwise be a hugely opaque market.

For its clients, the perks of signing up are clear. FXC Intelligence's services give clients the ability to enhance their decision-making processes, prepare better for changes in the market, and build new, improved products. It is no surprise, then, that big industry names like Lloyds Bank and Ripple are already onboard. And, with its reputation having been boosted by the likes of Forbes and the Economist running publications based on its data, FXC Intelligence could be looking at even greater demand in future.

Furthermore, FXC Intelligence now has the ability to capitalise on a growing number of financial institutions looking to establish themselves in a new digital era. If FXC Intelligence can continue its run of current successes, as well as harnessing this potential increase in demand, it has great prospects moving forward.