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
- 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
- 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
- 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
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!
Skills 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
- 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
Cognism Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognism and has not been reviewed or approved by Cognism.
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Fair & Transparent Compensation — Sales compensation for SDR and AE roles is considered broadly in line with market norms, with on‑target earnings seen as attainable for strong performers. Role and location specifics suggest UK SDR pay is near market, enabling reasonable earnings for performers.
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Leave & Time Off Breadth — Annual leave is presented as generous, with an extra day off for birthdays and region‑specific policies. This positions time off as a meaningful part of the core package.
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Parental & Family Support — Maternity and paternity packages are highlighted as “excellent,” with details varying by country. This points to an emphasis on family support in the offering.
Cognism Insights
What We Do
Cognism is a leader in international sales intelligence, setting a new standard for data quality and compliance, trusted by 1800+ revenue teams worldwide. Cognism helps businesses find, engage and close their dream prospects by providing premium company and contact information, including firmographics, technographics, sales trigger events, intent data, verified business emails and phone-verified mobile numbers. Next level GDPR & CCPA compliance, combined with innovative technology and integrations with leading CRM and sales engagement partners, make Cognism the number one choice for businesses looking to create a predictable pipeline, find their next best business opportunity and overcome global compliance barriers.
