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Browse Open Jobs[Remote] MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking)
Summary by AIEngineer.careers
[Remote] MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking) is a MLOps Engineer role (full-time). with Jobflarely. in REMOTE, WORLDWIDE. Imported listing (source: jobflarely.liveblog365.com). Apply on the employer's site (jobflarely.liveblog365.com).
Imported listing (source: jobflarely.liveblog365.com) · Apply on jobflarely.liveblog365.com
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobflarely.liveblog365.com
Madiff seeks an MLOps Engineer to support an enterprise analytics platform in banking. The role focuses on operationalizing analytical models, automating ML pipelines, and ensuring reproducibility. Collaborate with data scientists to streamline production workflows.
Responsibilities
- Design and operate training and deployment pipelines for analytical and optimisation models
- Automate model retraining, validation, and promotion processes
- Ensure reproducibility and consistency across environments
- Support scalable analytical workloads across cloud platforms
- Enable structured exposure of model outputs to LangChain and LangGraph workflows
- Monitor performance, stability, and reliability of ML pipelines
- Collaborate with data scientists to streamline experimentation to production
Requirements
- Strong experience in MLOps or ML platform engineering
- Solid Python skills for automation and tooling
- Hands-on experience with Docker and Kubernetes
- Practical experience with MLflow or similar model lifecycle management tools
- Experience with workflow orchestration tools such as Airflow
J
Jobflarely
Unknown · US · 10+ employees
Jobflarely is a job board platform and human resources solution provider that connects job seekers with employers through an online digital marketplace. It was founded in 2025.
