Job Specifications
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!
We are looking for a highly skilled Senior Machine Learning Engineer to join our MLOps team at Trustpilot. You will work closely with data science teams and engineering stakeholders to design, implement, and take ownership of cutting-edge ML infrastructure solutions that are core to Trustpilot's central strategy.
As a Senior ML Engineer, you will be a key driver in defining our technical roadmap, enabling data scientists to deliver value at massive scale and you'll be working with the latest technologies including LLMs, MCP servers, and streaming-based models while acting as a bridge between data science teams and classical engineering.
A typical week for you will include working in a semi-embedded model, collaborating closely with data science teams while maintaining your agile rituals within the MLOps team. You'll have the freedom to define how you solve technical problems while meeting clear expectations set by your engineering manager. You'll participate in cross-functional delivery of projects and help educate other teams on ML best practices.
You'll also have regular 1-on-1s with your manager, where you'll work on your personal growth and development through clear goals, actionable feedback, and learning opportunities.
What You'll Be Doing
Design and implement machine learning infrastructure capabilities using cutting-edge technology like LLMs and MCP servers.
Work with streaming data and high-volume data that supports machine learning infrastructure.
Build solid contributing partnerships with data science teams to deeply understand their use cases and deliver value.
Take full ownership of ML offerings, including architecture decisions and defining interfaces with data scientists.
Productionize and operate ML models and pipelines at scale with a focus on reliability and efficiency.
Act as a bridge and technical leader between data science teams and classical engineering.
Identify opportunities and implement best practices to improve our existing systems continuously.
Help mentor and educate colleagues across different teams on ML best practices and MLOps principles.
Who You Are
Strong, proven experience with containerisation, Python, and CI/CD in a production ML environment.
Expert experience working with streaming data and high-volume data processing at scale.
Ability to quickly switch between complex technical implementation and value-focused discussions with data scientists (a consulting mindset).
Demonstrated experience in architecture design and taking ownership of large-scale ML infrastructure.
Experience with GCP and Kafka streaming is a strong plus.
Scientific and critical thinking skills, combined with the ability to present your ideas clearly and compellingly.
A friendly and helpful personality, open to give and receive feedback in a constructive way.
Motivation to push yourself and the people around you to constantly improve and define the technical roadmap.
What’s In It For You
A range of flexible working options to dedicate time to what matters to you
Competitive compensation package, with bonus and RSU
28 days holiday plus 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 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.
There is also breakfast and lunch in the office on Tuesdays and Wednesdays along with extra treats throughout the month
Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts and more.
Still not sure?
We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We're keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don't worry if you're looking at this job description and feel like 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. Trus
About the Company
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 320 million reviews and 70 million monthly active users across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,0...
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