Machine Learning Operations Specialist
1 month ago
MLOPS ENGINEER (MID-WEIGHT OR SENIOR) | FINTECH SCALEUP | LONDON (HYBRID)
The Opportunity:As a key member of a growing data team in a FinTech Scaleup, you will have the opportunity to shape the future of machine learning operations. This is an exciting chance to be part of a 14-person data team, working closely with the Data Science Manager to develop and implement efficient processes for operationalizing and maintaining machine learning models.
Key Responsibilities:- Design and implement scalable machine learning pipelines, covering everything from model training to deployment and monitoring.
- Build robust data infrastructure to support simulations and production usage.
- Set up systems to monitor model performance in production environments.
- Automate the machine learning lifecycle, focusing on scalability and efficiency.
- Collaborate with data scientists and team members to integrate the latest advancements in machine learning into production.
- Proven experience in building and maintaining operational machine learning systems.
- Proficiency in Python and familiarity with machine learning/data engineering libraries.
- Strong understanding of DevOps practices such as CI/CD, containerization (Docker, Kubernetes), and version control (Git).
- Ability to troubleshoot complex machine learning pipelines and address potential performance bottlenecks.
- Terraform
- AWS
- Rackspace
- Helmchart
- Jenkins
- Snowflake
- Experience with the tech stack listed above
- Experience working in FinTech startups or scaleups.
This role offers the chance to be at the forefront of developing an ML infrastructure that will power key business decisions. If you're passionate about operationalizing machine learning models and thrive in dynamic startup/scaleup environments, please apply to this advert or email your CV to spatel@space-exec.com.
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