Machine Learning Engineer, Trustpilot
+ bonus
Consumer review website
Job no longer available
Consumer review website
1001+ employees
Job no longer available
+ bonus
1001+ employees
Company mission
To bring people and businesses closer together to create ever-improving experiences for everyone.
Role
Who you are
- We’re looking for someone who has a solid technical foundation in both machine learning and software engineering. If you don’t meet every single point below, please still consider applying—what matters most to us is your growth mindset, your ability to learn quickly, and how you work collaboratively
- Experience deploying machine learning models in production environments in cloud platforms like GCP, AWS or Azure
- Experience with CI/CD pipelines for machine learning (e.g., Github action, Docker)
- Experience with ML platforms/frameworks (eg. VertexAI, Kubeflow, Sagemaker)
- Experience with data processing frameworks and tools(eg. Spark, Databricks), particularly Apache Beam/Dataflow is highly desirable
- Knowledge of monitoring and maintaining models in production
- Experience with performance/cost optimization is highly desirable (eg. Latency, throughput)
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Problem-solving skills with the ability to troubleshoot model and pipeline issues
- Strong communication skills, enabling effective collaboration across teams
- Even if you don’t feel you meet all the requirements, we'd still really like to hear from you!
What the job involves
- At Trustpilot, we’re looking for a Machine Learning Engineer who’s ready to tackle real-world challenges and help us build robust, scalable systems for our AI models
- If you’re excited about machine learning, enjoy solving complex problems, and want to work in a collaborative environment, this could be the perfect role for you
- 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-driven solutions
- Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring high performance 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
- Optimise: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery
- Agentic Development: Develop MCP servers and A2A agents through our internal framework for managing multi agent orchestrated deployments
Our take
Fuelled by the rise of the consumer voice, Trustpilot began with the vision that a brand's future is trust and transparency powered. Since launch, the site has hosted over 300 million reviews for hundreds of thousands of businesses.
The company works hard to make sure customers are reading reviews based on real experiences and take an active stance in combating fake reviews. This includes forming a partnership with Veriff to offer identity verification services to the community.
Trustpilot earns a majority of its revenue from companies that subscribe to its services. This enables companies to collect reviews at key moments in customer journeys, showcase their reviews elsewhere, and unlock customer insights. After a successful IPO back in 2021, the company has continued to grow and maintains it status as a trusted tool for consumers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Mar 2019
$55m
SERIES E
Jan 2017
$7.1m
LATE VC
Total funding: $179m
Company benefits
- Maternity & Paternity pay
- Train travel scheme
- '20% time' - work on anything you’d like
- 28 days holiday (excl. bank holidays)
- Work from home opportunities
- Pension and life insurance
- Full access to Headspace
- Regular events and socials
- Health cash plan, online GP, 24/7, Employee Assistance Plan
- And more! (Varies by location)
Company HQ
København K, København
Leadership
Adrian Blair
(CEO)CEO of the company since 2023. Also Co-Founder and Chair at Circl. Former CBO at Cera, CEO at Dext and Global COO of JUST EAT.
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