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. 📈