At a Glance
- Tasks: Join our MLOps team to deploy and monitor machine learning models in production.
- Company: Trustpilot connects consumers and businesses through reviews, promoting trust globally.
- Benefits: Enjoy flexible working, competitive pay, 25+ days holiday, and wellness perks like Headspace access.
- Why this job: Be part of a diverse team shaping AI solutions that impact millions worldwide.
- Qualifications: Solid foundation in ML and software engineering; experience with Python and cloud platforms required.
- Other info: We value diverse perspectives and encourage all applicants, even if you don't meet every requirement.
The predicted salary is between 36000 - 60000 £ per year.
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, increasing to 28 days after 2 years of employment. 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. Pension and life insurance. Health cash plan, online GP, 24/7 Employee Assistance Plan. Full access to Headspace, a popular mindfulness app to promote positive mental health. Paid parental leave. Season ticket loan and a cycle-to-work scheme. Central office location complete with all the snacks and refreshments you can ask for. Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. 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! 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. #J-18808-Ljbffr
Machine Learning Engineer employer: Trustpilot
Contact Detail:
Trustpilot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific machine learning frameworks mentioned in the job description, such as TensorFlow and PyTorch. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during discussions.
✨Tip Number 2
Engage with the MLOps community online, particularly on platforms like GitHub or LinkedIn. Sharing your projects or contributing to open-source initiatives can showcase your skills and passion for machine learning, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your experience with CI/CD pipelines specifically tailored for machine learning. Be ready to share examples of how you've implemented these processes in past roles, as this is a key aspect of the position at Trustpilot.
✨Tip Number 4
Network with current or former employees of Trustpilot to gain insights into the company culture and expectations. This can provide you with valuable information that can help you tailor your approach during interviews and show your genuine interest in the role.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and software engineering. Focus on specific projects where you've deployed models, built pipelines, or worked with CI/CD processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it aligns with Trustpilot's mission. Mention specific technologies you’ve worked with, like Python, TensorFlow, or Docker, and how they relate to the role.
Showcase Problem-Solving Skills: Provide examples of challenges you've faced in previous roles and how you resolved them. This could include troubleshooting model issues or optimising deployment processes, which are crucial for the position.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise any past experiences where you collaborated with data scientists or software engineers. This shows you can effectively communicate and work within a team.
How to prepare for a job interview at Trustpilot
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and software engineering. Highlight specific projects where you've deployed models in production, and be ready to explain the tools and libraries you used, such as Python, TensorFlow, or PyTorch.
✨Demonstrate Collaboration Experience
Since the role involves working closely with data scientists and software engineers, share examples of how you've successfully collaborated in cross-functional teams. Emphasise your communication skills and how they helped achieve project goals.
✨Understand CI/CD for ML
Familiarise yourself with continuous integration and delivery pipelines specific to machine learning. Be ready to discuss your experience with tools like Vertex AI and how you've implemented these processes to streamline model deployment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly related to troubleshooting model and pipeline issues. Think of specific challenges you've faced in previous roles and how you resolved them, showcasing your analytical skills.