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MLOps Engineer – Machine Learning/DevOps

Job Category: DevOps
Job Type: Permanent
Job Location: Remote
Salary: Competitive

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#.

Job Application

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