MLOps Engineer

Limelight Health; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Cognism is seeking an outstanding MLOps Engineer to join the Data team. You will optimize ML services, advise on best practices, and build tooling that drives reliable ML workflows. You will lead MLOps initiatives during platform implementation and collaborate with Data Scientists to deploy models.

Key responsibilities include building automation pipelines, designing training/deployment infrastructure, and enforcing best practices across teams to ensure reliability and scalability of ML services.

Qualifications

• Strong cloud architecture and AWS fundamentals.
• Proficient in Python and ML deployment workflows.
• Experience with Terraform, CDK, or similar IaC tooling.
• CI/CD experience with GitHub Actions or CircleCI.
• Production ML model deployment and monitoring.
• Fluent English and collaborative skills.

Responsibilities

• Build and manage automation pipelines to operationalize ML platform
• Design model training and deployment infrastructure
• Design and implement secure, reliable AWS architectures
• Enforce MLOps best practices across teams
• Bridge AI, Engineering, and DevSecOps for ML deployment
• Work closely with Data Scientists on tooling and model integration
• Monitor and maintain production critical ML services

Skills

AWS

MLOps

Python

Terraform

CI/CD

Docker

Kubernetes

Data Engineering

ML Model Deployment

English

Tools

GitHub Actions

CircleCI

CDK

IaC tooling

Job description

WHO ARE WE

Cognism 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 position
• Lead MLOps initiatives during platform implementation
• Drive reliability, maintainability, scalability, and speed

Key Responsibilities

• Build and manage automation pipelines to operationalize ML platform
• Design model training and deployment infrastructure
• Design and implement secure, reliable, scalable AWS architectures
• Enforce MLOps best practices across Science and Data teams
• Bridge AI, Engineering, and DevSecOps for ML deployment
• Work closely with Data Scientists on tooling and model integration
• Monitor and maintain production critical ML services

Required

• Strong cloud architecture and services fundamentals, AWS preferred
• Modern MLOps best practices understanding
• Machine Learning fundamentals knowledge
• Data Engineering fundamentals knowledge
• Infrastructure as Code experience: Terraform, CDK or similar
• CI/CD pipelines experience: GitHub Actions, CircleCI or similar
• Cloud networking and security basics
• Containerization experience: Docker, ECS, Kubernetes or similar
• Proficient reading and writing Python code
• Production ML model deployment and monitoring experience
• Fluent English with strong communication and teamwork skills
• Enthusiasm for learning modern MLOps solutions

Bonus

• MLOps Platforms: SageMaker, VertexAI, Databricks or similar
• Reading and writing Scala code
• Frameworks: scikit-learn, Keras, PyTorch, Tensorflow
• SQL and NoSQL databases, data lakehouse experience

WHY COGNISM

At 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!