Machine Learning Engineer

Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way—but there’s still an exciting journey ahead. Join us at the heart of trust.

As part of the MLOps team, you’ll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life—ensuring they’re deployed, maintained, and monitored efficiently in production. You’ll have the opportunity to improve model performance and infrastructure, all while contributing to Trustpilot’s AI-based solutions.

What you’ll be doing:

• Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring quality work and scalability.
• Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows.
• CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models.
• Model Monitoring: Help monitor the performance of machine learning models post-deployment, ensuring reliability, scalability, and quality over time.
• Collaboration: Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
• Optimize: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery.

Who you are:

• Solid technical foundation in both machine learning and software engineering.
• Experience deploying machine learning models in production environments.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms like GCP, AWS, or Azure.
• Experience with CI/CD pipelines for machine learning (e.g., Vertex AI).
• Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable.
• Knowledge of monitoring and maintaining models in production.
• Proficiency in employing containerization tools, including Docker, to streamline the configuration of deployment settings.
• Problem-solving skills with the ability to troubleshoot model and pipeline issues.
• Good communication skills, enabling effective collaboration across teams.

What’s in it for you:

• A range of flexible working options to dedicate time to what matters to you
• Competitive compensation package + bonus
• 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)
• Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
• Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist
• Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health
• Paid parental leave
• Central office with a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price
• Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials
• Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms
• Employee discounts to restaurants and shops

Still not sure?
We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don’t feel you don't meet all the requirements, we'd still really like to hear from you!

#LI-SV1

About us
Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.

Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.

We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.

Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

Join us at the heart of trust.

Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.

Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

Location:
Copenhagen