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ML OPS Engineer

MetLife -
Galway, County Galway

Apply Now

Job details

Full-time
9 days ago

Qualifications

CI/CD
Data modelling
Azure
Analysis skills
AI
Business
Communication skills

Full job description

General Information

Location

Galway, Ireland

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

Posted Date

23-Jul-2026

Job ID

19342

Description and Requirements

The Team You Will Join

When you join MetLife’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments. In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

MetLife Ireland which is located in both Dublin and Galway City Centres. Dublin is our Operational Headquarters for our Europe Region. In addition, both Dublin and Galway have a significant number of our colleagues that are focused on supporting our broader EMEA and Global functions. They are homes to our Actuarial, Audit, Compliance, Finance, IT, Legal, Operations, Risk and Treasury Teams.

The Opportunity

The ML Ops Engineer is responsible for designing, building, automating, deploying, monitoring, and supporting machine learning solutions across the enterprise. The role bridges Data Science, Data Engineering, DevOps, Cloud Engineering, and Architecture teams to ensure machine learning models can be reliably deployed and operated in production.

The candidate will establish and support enterprise ML Ops capabilities, including CI/CD pipelines, model deployment frameworks, feature management, model monitoring, governance controls, and automated retraining processes.

Key Responsibilities

ML Ops Platform Engineering

Design and implement enterprise ML Ops platforms and frameworks.
Build reusable ML deployment patterns and automation.
Develop model serving and inference architectures.
Create standardised deployment templates and engineering guardrails.
Support containerisation and orchestration platforms.

CI/CD & Automation

Build and maintain CI/CD pipelines for machine learning workloads.
Automate model validation, testing, deployment, promotion, and rollback processes.
Implement Infrastructure-as-Code (IaC) practices.
Establish release management standards for ML solutions.

Model Operationalisation

Convert experimental data science solutions into production-grade systems.
Package, deploy, version, and manage ML models.
Manage model registries and artefact repositories.
Support batch, real-time, and API-based inference patterns.

Monitoring & Reliability

Implement monitoring for:

Model performance
Data quality
Data drift
Concept drift
Operational health
Establish alerting and observability frameworks.
Support SLA/SLO compliance for AI and ML services.

Cloud & Platform Infrastructure

Build and maintain cloud-native ML platforms.
Manage compute environments for training and inference workloads.
Optimise platform scalability, performance, reliability, and cost.
Implement secure access controls and secrets management.

Governance, Risk & Compliance

Ensure compliance with enterprise AI governance standards.
Support Responsible AI (RAI) requirements.
Implement auditability, reproducibility, lineage, and traceability controls.
Maintain model documentation and governance evidence.

Key Stakeholders:

Data Scientists
Data Engineers
Cloud Engineers
Solution Architects
Information Security teams
Business stakeholders

Required Qualifications

5-8 years of IT experience.
3+ years in ML Ops, ML Engineering, Data Engineering, or Platform Engineering.
Experience in Azure ML, Domino, Azure Databricks, ADF
Good understanding of supervised learning, unsupervised learning, model evaluation, feature engineering, model life cycle management
Experience deploying machine learning solutions into production.
Experience with cloud-native data and AI platforms.
Experience implementing CI/CD pipelines.
Strong analytical skills with demonstrated ability to apply analysis to actionable insights
Excellent verbal and written communication skills with focused attention to details, as well as demonstrated professionalism and time/task management skills

Preferred Qualifications

Financial Services, Insurance, or highly regulated industry experience.
Experience supporting enterprise-scale AI platforms.
Exposure to GenAI, LLMOps, and Agentic AI frameworks.

Benefits We Offer

Our Ireland benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We are committed to employee care by delivering comprehensive inclusive offerings and cultivating an environment that drives professional growth, purposeful work, and a supportive culture. Our benefits package includes hybrid work, career development and professional qualification support, full private health insurance for employees and their immediate family members, income protection, defined contribution pension benefits and much more!

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

Apply Now

Refine Your Search

digital ai solution architect jobs

ML OPS Engineer

Mobile QA Architect

Infrastructure Consultant

Engineering Manager

Manager, Architecture & Components

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