Skills

Python CI/CD Docker Kubernetes Monitoring Version Control Machine Learning git AWS Data Science CI/CD Pipelines Grafana

Job Specifications

Job Title: MLOps Engineer
Location: London, UK (Hybrid)

Role Summary

We are looking for an experienced MLOps Engineer to support the deployment, monitoring, and ongoing maintenance of machine learning models in production environments.
This role is focused purely on platform reliability, deployment, and operational excellence — not model development or end-user support.

The ideal candidate will play a key role in:
Ensuring production ML systems run smoothly
Managing deployment workflows
Monitoring model performance
Maintaining scalable and reliable ML infrastructure
Supporting API endpoints and platform integrations

Key Responsibilities

Platform Operations & Monitoring
Monitor ML model endpoints and platform health using tools such as Grafana
Respond to alerts, troubleshoot incidents, and implement code fixes
Manage incidents and change requests through internal processes
Coordinate with platform vendors/support teams to resolve technical issues

Model Deployment
Deploy and maintain ML models in production environments
Ensure models are integrated into automated pipelines
Maintain high standards of reliability, performance, and scalability

Pipeline Maintenance
Collaborate with Data Scientists and Engineering teams to transition models into production
Maintain and support ML pipelines
Optimize pipeline performance, automation, and resource utilization

Automation & Platform Improvement
Implement automation for deployment and monitoring
Improve platform efficiency and operational workflows
Support scalable infrastructure and production readiness

Required Skills & Experience
Strong hands-on experience in Python
Proven experience in ML model deployment & production monitoring
Good understanding of core Data Science concepts such as:
Model evaluation metrics
Overfitting
Data drift
Feature importance
Experience with AWS services (e.g., S3, Redshift)
Monitoring experience using Grafana
Understanding of:
CI/CD pipelines
Version control (Git)
Containerization (Docker)
Orchestration (Kubernetes preferred)
Strong troubleshooting & incident management skills
Ability to collaborate with cross-functional teams and stakeholders

Nice to Have
Experience working with enterprise ML platforms (e.g., Domino or similar)

About the Company

ALOIS UK is a UK-focused talent and technology solutions partner, supporting organisations with compliant, structured and scalable hiring across IT and digital roles. We work with UK enterprises and growing businesses that need reliable access to IR35-ready contractors, permanent tech talent and specialist skill sets, without delivery risk, compliance gaps or operational surprises. Our approach is built around governance, transparency, and long-term partnership, not transactional recruitment. What We Support • IT Contract & ... Know more