At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. We inspire, we build, and we celebrate. We dream big, love our users, hustle every day, and always do the right thing to win - together. Our people are at the heart of our success.

ABOUT THE ROLE AND THE TEAM:

TKWW is looking for an MLOps Engineer to help grow all the MLOps capabilities inside the company by building state-of-the-art machine learning infrastructure. This person will be part of the MLOps team, collaborating closely with data scientists and ML Scientists to develop tools that will speed up their work and continuously improve the deployment of ML models into production. In addition, this role will also include working with the latest LLMs to provide state-of-the-art solutions to the company. As an MLOps Engineer, you will be working in a fast-paced environment and using cutting-edge technologies to develop a scalable MLOps platform that will support years of company growth and build a best-in-class web product for couples.

RESPONSIBILITIES:

Collaborate with data scientists, machine learning scientists, and software engineers to deploy scalable machine learning models to production efficiently.
Assemble large, complex data sets that meet requirements to support ML, data science, and analytics projects.
Contribute to expanding and improving the infrastructure to support all stages of the machine learning model lifecycle, including feature engineering, feature store, model training, testing, monitoring, and deployment in a production environment.
Proactively identify and implement internal process improvement, including automating manual work, optimizing data delivery, and re-designing infrastructure for greater scalability.
Support daily operations and production of our data platform, including monitoring, quality, and governance utilities, CI/CD pipelines, and all data integration touchpoints.

SUCCESSFUL CANDIDATES HAVE:

Bachelor’s degree in Computer Science, Engineering or related field.
Excellent communication skills in English (oral and written).
3+ years of experience creating solutions with Python.
3+ years deploying and maintaining ML models in production with demonstrable business impact.
Strong understanding of cloud architecture tools and services, such as AWS and cloud data warehouses.
Working knowledge of open-source data orchestration tools such as Apache Airflow or Dagster and experience applying them.
Experience working with vector databases is a plus (Qdrant, ChromaDB…).
Willingness to learn new technologies and approaches to solve new problems.

IT'S A BONUS IF:

Snowflake experience is a plus.
Experience working with large language models (LLMs) will also be an advantage.
Experience with Spark, Kafka, or Flink will also be an advantage.

WORK MODEL

This role is Together@TKWW-eligible and based near one of our office hubs. Starting September 15, 2025, you’ll be expected to work in the office two days a week as part of our hybrid work model.

At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference!

WHAT WE LOVE ABOUT YOU:

You Dream Big. You iterate and experiment to drive innovation.
You Love Our Users. You keep our global community at the center of everything you do.
You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion.
You Hustle Every Day. You favor urgency and own your outcomes.
You Win Together. People are at the heart of our success and you play as a team.

WHAT YOU LOVE ABOUT US:

We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter both in and out of the “office”. We offer flexible vacation, generous parental leave and prioritize initiatives that support the growth, development, and happiness of our people.

Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward.

For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection.
For roles not eligible for in-office expectations, we support connection through virtual collaboration and intentional gatherings.

To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C.

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US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Privacy Notice: TKWW processes your personal data as part of the recruitment process, based on the legal basis of executing pre-contractual measures at your request. This means we use your information to assess your application and carry out the necessary steps for a potential employment contract. Only the information strictly necessary for evaluating your application is collected. You can request access, rectification, or deletion of your data. For more information on how we handle your personal data, please refer to our Privacy Policy. If you wish to file a complaint, you may contact the competent data protection authority.

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