Summary
Join a data engineering organization as an MLOps Engineer and help build reliable, maintainable, and scalable machine-learning workflows. You will lead MLOps initiatives, automate ML platform operations, design training and deployment infrastructure, and implement secure systems that make machine-learning services easier to operate at scale.
Highlights
Hands-on MLOps engineering role with ownership of platform initiatives and a strong focus on reliability, maintainability, scalability, and speed. You will build automation and infrastructure that operationalizes machine-learning workflows and directly improve engineering practices.
Description
WHO ARE WECognism is the leading provider of European B2B data and sales intelligence.
Ambitious businesses of every size use our platform to discover, connect, and engage with qualified decision-makers faster and close more deals.
Headquartered in London with global offices, Cognism’s contact data and contextual signals are trusted by thousands of revenue teams to eliminate the guesswork from prospecting.
Cognism is seeking an outstanding MLOps Engineer to join the Data team, reporting directly to the Engineering Manager.
You'll optimize ML services and products, advise on best practices, and build tooling that drives reliable, maintainable, scalable ML workflows.
Hands-on engineering and MLOps positionLead MLOps initiatives during platform implementationDrive reliability, maintainability, scalability, and speed Key ResponsibilitiesBuild and manage automation pipelines to operationalize ML platformDesign model training and deployment infrastructureDesign and implement secure, reliable, scalable AWS architecturesEnforce MLOps best practices across Science and Data teamsBridge AI, Engineering, and DevSecOps for ML deploymentWork closely with Data Scientists on tooling and model integrationMonitor and maintain production critical ML services RequiredStrong cloud architecture and services fundamentals, AWS preferredModern MLOps best practices understandingMachine Learning fundamentals knowledgeData Engineering fundamentals knowledgeInfrastructure as Code experience: Terraform, CDK or similarCI/CD pipelines experience: GitHub Actions, CircleCI or similarCloud networking and security basicsContainerization experience: Docker, ECS, Kubernetes or similarProficient reading and writing Python codeProduction ML model deployment and monitoring experienceFluent English with strong communication and teamwork skillsEnthusiasm for learning modern MLOps solutions
BonusMLOps Platforms: SageMaker, VertexAI, Databricks or similarReading and writing Scala codeFrameworks: scikit-learn, Keras, PyTorch, TensorflowSQL and NoSQL databases, data lakehouse experience WHY COGNISMAt Cognism, we’re not just building a company - we’re building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day.
If you’re looking for a place where your work truly makes an impact, you’re in the right spot!
Our values aren’t just words on a page—they guide how we work, how we treat each other, and how we grow together.
They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.
Here’s what we stand for:
🤝 We Own the Outcome Together.
🤓 We Deeply Understand our Customers.
🏆 We Celebrate Impact Wherever It Comes From.
At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace.
We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you’re unsure if you meet every requirement, we encourage you to apply!
