Company:
NearTech Search
Location: greater manchester
Closing Date: 27/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
A fast-growing stealth start-up is seeking two experienced and enthusiastic MLOps Engineers to join their dynamic team. This is a fantastic opportunity to make a real impact and be part of a cutting-edge environment driving innovation in machine learning operations.
In this role, you will:
- Collaborate with data scientists and engineers to optimise and automate ML model training, validation, and deployment processes.
- Design, build, and manage robust CI/CD pipelines for ML models, ensuring smooth deployment to cloud and edge systems.
- Oversee large-scale data processing and storage, working with Datalake and Datawarehouse solutions.
- Implement and manage ETL pipelines, ensuring efficient data flow and processing.
- Support cloud architecture and infrastructure, primarily using AWS, to ensure scalability and reliability.
Key Requirements:
- 4+ years of experience in MLOps, DevOps, or a related role.
- Strong expertise in CI/CD deployment, ETL pipelines, and cloud technologies.
- Hands-on experience with Datalake and Datawarehouse management.
- Strong experience with AWS
- Proven ability to work closely with cross-functional teams to deliver end-to-end ML solutions.
- Excellent documentation and data presentation skills.
Desirable Skills:
- Experience with Kubernetes or Docker for containerisation and model orchestration.
This is an office-based role in Manchester, and candidates must be within commuting distance. Visa sponsorship is not available for this position.
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