Machine Learning Engineer I

Amsterdam, North Holland, Netherlands

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Fintech, PaymentsIndustries

Requirements

Candidates should possess proficiency in writing production-ready Python code and familiarity with production ML models and standard MLOps practices. Experience with monitoring and observability of production systems, cloud-based application development (AWS), and at least one ML framework (scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton) is required. Strong communication skills and a growth mindset are also essential.

Responsibilities

The Machine Learning Engineer will build scalable systems for training, deploying, and monitoring machine learning models for the payments platform. They will scale the feature store for complex use-cases and deliver end-to-end features with full ownership, contributing to real-time fraud detection and payment optimization.

Skills

Python

Machine Learning

Feature Store

Model Training

Model Deployment

Model Monitoring

Real-time / Online Inference

Production-Ready Code

End-to-End ML Pipeline

Payments / FinTech domain

Checkout.com

High-performance payments platform for enterprises

About Checkout.com

Checkout.com provides a payments platform that helps businesses process payments, send payouts, and manage card programs. The platform is designed for large enterprises and growing businesses, allowing them to handle high volumes of transactions quickly and reliably. It integrates with clients' existing systems and offers a range of payment services, generating revenue through transaction fees and subscriptions. Unlike many competitors, Checkout.com focuses on providing a comprehensive, cloud-based solution that supports the financial operations of its clients across the globe. The goal of Checkout.com is to streamline payment processes and enhance the payment experience for both businesses and their customers.

London, United KingdomHeadquarters

2012Year Founded

$1,780.1MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Work-life balance - Flexible working and plenty of time off to unwind. We’ll even give you your birthday off.

Recognition - Peer recognition program and quarterly Hero Awards. We celebrate success together.

Career development - Tailored career development and learning pathways. We’ll help you unlock your potential.

Celebrating diversity - Internal community groups and cultural events. We celebrate our differences.

Staying healthy - A global wellness programme and private health insurance. We support your wellbeing.

Security for the future - Comprehensive plans for you and your loved ones. We’ll take care of you.

Giving back - Employee-led community outreach, payroll giving and a volunteering day. We care about your causes.

Risks

Checkout.com faces increased competition from emerging fintech startups.

Economic instability in the UK and EU may impact Checkout.com's revenue.

Regulatory scrutiny on data privacy could increase compliance costs.

Differentiation

Checkout.com offers payments in over 150 currencies with in-country acquiring.

The platform integrates fraud filters and reporting through a single API.

Checkout.com supports major international cards and local payment methods.

Upsides

Checkout.com is expanding in Japan, enhancing its global presence.

The partnership with Zing increases digital payment methods and product growth.

Checkout.com launched Octopus for online payments, a first for global PSPs.

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