MLOps Engineer

Passionate about cutting-edge technologies in Machine Learning and looking for an exciting opportunity with a leading FinTech organisation?

This is your chance to join a dynamic team committed to empowering businesses with data-driven solutions. You'll play a key role in building and enhancing Machine Learning platforms, supporting data scientists to train, deploy, monitor, and productionise models seamlessly.

What You'll Be Doing:

• Develop and maintain a state-of-the-art ML platform.
• Build tools that make MLOps efficient and scalable.
• Create reusable code and ensure best practices in coding, testing, and documentation.
• Set up and optimise both SQL and NoSQL databases.
• Work on deploying and managing applications in Kubernetes.
• Automate deployment and provisioning with tools like Docker and CI/CD.

Essential Skills:

✅ Solid knowledge of MLOps architecture and practices.

✅ Proficiency in Python or Go.

✅ Familiarity with cloud environments (e.g., GCP, AWS, Azure).

✅ Ability to build data-oriented platforms and work in ML/data projects.

Beneficial Skills:

• Experience with distributed systems (e.g., Spark, Kafka).
• Hands-on knowledge of building complex data pipelines (ETL).
• Basic understanding of Machine Learning/AI frameworks.

Hybrid working for a perfect balance of focus and collaboration.

Be part of a fun, informal, and innovative team.

Endless opportunities for growth and personal development. 📈