ML OPS Engineer

General Information

Location

Galway, Ireland

Working Schedule

Full-Time

Work Arrangement

Hybrid

Posted Date

23-Jul-2026

Job ID

19342

Description and Requirements

At MetLife, we’re leading the global transformation of an industry we’ve long defined. Founded in 1868, 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 help its individual and institutional customers navigate their changing world. We have operations in more than 40 countries and hold leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.

We are one of the largest institutional investors in the U.S. with $669 billion of total assets under management as of December 31, 2021, ranked #50 on the Fortune 500 list, and honored to have been named to Fortune magazine's list of the "World's Most Admired Companies" for three consecutive years.

MetLife employees are united by purpose, guided by empathy and inspired by one another’s unique backgrounds and perspective to make a difference in the lives of our customers, communities, and the world at large.

With our purpose at our core - Always with you, building a more confident future - sustainability at MetLife means sustaining people’s lives. Sustainability is central to our business strategy and is ingrained across our operations. With the United Nations Sustainable Development Goals (UN SDGs) as a guide, we are deploying the strength of our people, products, services and investments to sustain our customers, our colleagues, our communities and our shareholders.

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.

Role Value Proposition:

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:

Work closely with:

Data Scientists

Data Engineers

Cloud Engineers

Solution Architects

Information Security teams

Business stakeholders

Essential Business Experience and Technical Skills:

Required:

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:

Financial Services, Insurance, or highly regulated industry experience.

Experience supporting enterprise-scale AI platforms.

Exposure to GenAI, LLMOps, and Agentic AI frameworks.

Travel

Negligible

Business Category

Global Technology & Operations

Number of Openings

1

At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.

We ensure to reward and recognise our employees for their contributions and accomplishments at work. We value our employees’ commitment to their work by offering competitive and extensive compensation and benefits package. This includes 25 paid holidays, performance-based bonus, health insurance, income protection and pension benefits. MetLife will also assist in the funding of professional fees for employees where it is relevant and aligned to your position within the organisation. MetLife reserve the right to make a judgement on whether the subscription is relevant or not to your role as well as cease the payment at any time. This type of subscription will not incur “benefit in kind” tax.

Bring your true self to work every day, receive the development and support you need to perform at your best, opportunities to advance your career and surround yourself with like-minded people. Join MetLife.

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.

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!