Job Description
This is a newly-created machine learning opportunity for an MLOps Engineer, to join a technology R&D team of a global engineering organisation as part of their mission to deliver their intelligent infrastructure (IoT) program to revolutionise the civil engineering industry.
The R&D team are a group of passionate technologists specialising in software engineering, DevOps, IoT, Data Science and they operate with the autonomy of a startup, but with the financial backing of a global business – the best of both worlds.
After strong growth in the last 12 months, the next phase of the strategy is to grow the data science team; this particular role would suit a candidate with commercial DevOps experience coupled with a passion for machine learning; including experience deploying ML into production systems and delivering ML and AI architecture.
Working closely with both Data Science & DevOps Leads, your responsibility will bridge across proof of concept development (Data Science) and product maintenance (DevOps); therefore both theoretical knowledge and commercial experience in a similar role, would be ideal.
Key experience required:
- Experience deploying ML into production systems.
- Experience with Spark/Databricks (preferred), Apache Airflow, Hadoop or similar.
- Databases (SQL, NoSQL).
- Data lake technology (e.g. Azure Data Lake).
- Experience with MQTT, HDF5 and other data transmission/storage protocols.
- CI/CD.
- ETL/ELT.
- Cloud platforms/DevOps (AWS or Azure).
- Containerisation (Kubernetes/Docker).
- Python or C#.
Nice to have
- Message passing or event sourcing experience.
- Experience in civil engineering.
- Scaling tech e.g. Redis.
Keywords: MLOps Engineer, Machine Learning, DevOps, IoT, Data Science, Startup, Data Science, Kubernetes, Docker, Python, C#.