DevOps Engineer: (Company Name - Subscribers only)

MLOps / DevOps Engineer

My client, a stealth start-up, is seeking talented, passionate, and motivated individuals to join their rapidly growing team as MLOps / DevOps Engineers – for which there are 2 roles available.

Within the role, you’ll be:

• Analysing data from their DAS sensor hardware.
• Applying signal processing techniques to enhance algorithm performance.
• Understanding machine learning models and the computational resources needed for real-time inferencing.
• Managing big data storage and processing in a Datalake/Datawarehouse and ETL context.
• Implementing CI/CD pipelines to train, validate, and deploy ML models to the cloud and edge devices.
• Supporting the backend team with AWS deployments.

Required Skills:

• 3/4+ years of experience with CI/CD deployment, ETL pipelines, and ML models.
• Excellent documentation and data presentation skills.
• Strong Data warehouse / Datalake skills
• Ability to collaborate with cross-functional teams to implement and optimise DevOps practices.

Nice to Have:

• Experience with real-time inferencing using Kubernetes or Docker.

This role is office based in the North West for the first few months, then moving to hybrid working due to the nature of the business. Therefore you must be based within a commutable distance of the North-West, without need of visa sponsorship to apply.