MLOps Engineer I

Reposted 4 Days Ago
Be an Early Applicant
Amsterdam
Hybrid
Junior
Cloud • eCommerce • Fintech • Payments • Financial Services
We enable businesses and their communities to thrive in the digital economy.
The Role
As a Machine Learning Engineer I, you will build and scale systems for ML model training, deployment, and monitoring within the payments platform, contributing to fraud detection and payment optimization.
Summary Generated by Built In

Company Description

We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.

Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.

With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.

Job Description

As a ML (Machine Learning) Ops Engineer at Checkout.com in the ML Platform team, you will contribute to the development of scalable systems that power real-time fraud detection and payment optimization. This is your opportunity to grow alongside top-tier engineers while making a tangible impact on millions of transactions globally. 

The solutions that you will be building will power our stack of value added services in the Payments Performance area. We’re a growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value. 

How you’ll make an impact

  • Build systems for training, deploying and monitoring machine learning models used in our payments platform, at scale
  • Scale our feature store to more and increasingly complex use-cases both online and offline 
  • Deliver end to end features with full ownership under mentorship of talented engineers

Qualifications

  • Proficiency in writing clear, production-ready Python code
  • Familiarity with production ML models (online or offline) and standard MLOps practices 
  • Familiarity with monitoring and observability of production systems, with a strong sense of ownership 
  • Familiarity in Cloud-based application development (we use AWS)
  • Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
  • Strong communication skills, able to express ideas clearly and collaborate across teams
  • Growth mindset, always on the lookout for stretch challenges 
  • Curiosity to tackle open-ended problems and learn from failures

    Bring all of you to work 

    We create the conditions for high performers to thrive – through real ownership, fewer blockers, and work that makes a difference from day one.

    Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity – and where your growth is in your hands.

    We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

    It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
     

    Life at Checkout.com

    We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

    Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

    For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

    Top Skills

    AWS
    Databricks
    Kubeflow
    Python
    PyTorch
    Sagemaker
    Scikit-Learn
    Seldon
    Spark
    TensorFlow
    Triton
    Vertex Ai
    Xgboost
    Am I A Good Fit?
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    The Company
    Chicago, IL
    2,000 Employees
    Year Founded: 2012

    What We Do

    Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Patreon, Dashlane, Udacity, Wise, Sony Electronics, Klarna and many others.

    Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

    We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.

    We're proud to be certified as a Great Place to Work in the USA, with 89% of colleagues agreeing that this is a great place to work. That's 30% above average.

    Find out more about our team here: https://www.checkout.com/careers

    Why Work With Us

    We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. We're also proud to be certified as a Great Place to Work in the USA, with 89% of colleagues agreeing that this is a great place to work.

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