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Lead AI/ML Ops Engineer

JP Morgan Chase

Software and Technology Jobs

Lead AI/ML Ops Engineer

full-timePosted: Nov 25, 2025

Job Description

Lead AI/ML Ops Engineer

Location: Dublin, Ireland

Job Family: Data Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming financial services through innovative technology. As a Lead AI/ML Ops Engineer in our Dublin, Ireland office, you will play a pivotal role in revolutionizing our employee platforms by designing and deploying cutting-edge machine learning models that deliver tangible business impact. Reporting to the Head of Data Engineering, you will lead initiatives to integrate AI and data science into core systems, enhancing employee productivity, personalization, and decision-making in a secure, compliant manner. This position within the Data Engineering category offers the opportunity to work on high-stakes projects that support JPMorgan's global operations, leveraging vast datasets to drive efficiency and innovation in banking services. Your day-to-day responsibilities will involve architecting robust MLOps pipelines to ensure seamless model lifecycle management, from development to production deployment. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and business analysts, to identify AI opportunities that align with JPMorgan's strategic goals, such as improving risk assessment or employee engagement tools. Emphasizing scalability and reliability, you will optimize cloud-based infrastructures to handle complex AI workloads while adhering to stringent financial regulations like GDPR and internal compliance frameworks. This role demands a proactive approach to monitoring model performance and iterating on solutions to maintain the highest standards of accuracy and security in our financial ecosystem. We seek a visionary leader passionate about AI's potential in finance, with the technical expertise to bridge the gap between innovative models and real-world applications. At JPMorgan Chase, you will contribute to a culture of excellence, where your work directly influences employee experiences and operational excellence. Join us in Dublin to shape the future of AI-driven employee platforms, benefiting from our world-class resources, collaborative environment, and commitment to professional growth in one of the most dynamic industries.

Key Responsibilities

  • Lead the design and deployment of AI/ML models to enhance JPMorgan Chase's employee platforms, driving business impact through data-driven insights
  • Develop and maintain MLOps pipelines for model training, validation, deployment, and monitoring in production
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable AI solutions
  • Ensure compliance with financial regulations and data security standards in all AI initiatives
  • Optimize infrastructure for AI workloads, leveraging cloud services to support high-volume data processing
  • Monitor and troubleshoot ML models in real-time, implementing automation for performance and reliability
  • Mentor junior engineers and contribute to best practices in AI/ML operations within the team
  • Integrate AI models with existing employee systems to revolutionize user experiences and operational efficiency
  • Conduct research on emerging AI technologies and recommend innovations for JPMorgan's financial services ecosystem

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of experience in AI/ML operations, DevOps, or data engineering roles within financial services or technology sectors
  • Proven track record of designing, deploying, and managing machine learning models in production environments
  • Strong understanding of cloud platforms such as AWS, Azure, or GCP, with experience in scalable infrastructure for AI workloads
  • Experience with MLOps tools and pipelines, including model monitoring, versioning, and CI/CD for ML
  • Knowledge of data privacy regulations like GDPR and financial compliance standards relevant to banking
  • Ability to collaborate with cross-functional teams in a fast-paced, regulated environment

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Experience in financial services, particularly in employee platforms or risk management applications
  • Certifications in AWS Certified Machine Learning, Google Professional ML Engineer, or similar
  • Familiarity with JPMorgan Chase's tech stack, including internal tools for secure data handling
  • Prior work on AI-driven personalization or analytics in enterprise settings

Required Skills

  • Proficiency in Python, R, or Java for AI/ML development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Strong DevOps skills with tools such as Docker, Kubernetes, and Terraform
  • Experience with CI/CD pipelines using Jenkins, GitLab CI, or similar
  • Knowledge of big data technologies including Spark, Hadoop, or Kafka
  • Familiarity with model serving tools like MLflow, Kubeflow, or SageMaker
  • Understanding of data governance, security, and compliance in finance
  • Analytical problem-solving and debugging skills for complex systems
  • Excellent communication and stakeholder management abilities
  • Agile methodologies and project management experience
  • Cloud architecture design for AI scalability
  • Version control with Git and collaborative coding practices
  • Monitoring tools like Prometheus, Grafana, or ELK stack
  • Soft skills in team leadership and mentoring
  • Adaptability to regulatory changes in the financial industry

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • Employee stock purchase plan and financial wellness programs
  • Hybrid work model with flexibility for Dublin-based roles
  • Global mobility support and relocation assistance if applicable

JP Morgan Chase is an equal opportunity employer.

Locations

  • Dublin, IE

Salary

Estimated Salary Rangehigh confidence

95,000 - 150,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, R, or Java for AI/ML developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Strong DevOps skills with tools such as Docker, Kubernetes, and Terraformintermediate
  • Experience with CI/CD pipelines using Jenkins, GitLab CI, or similarintermediate
  • Knowledge of big data technologies including Spark, Hadoop, or Kafkaintermediate
  • Familiarity with model serving tools like MLflow, Kubeflow, or SageMakerintermediate
  • Understanding of data governance, security, and compliance in financeintermediate
  • Analytical problem-solving and debugging skills for complex systemsintermediate
  • Excellent communication and stakeholder management abilitiesintermediate
  • Agile methodologies and project management experienceintermediate
  • Cloud architecture design for AI scalabilityintermediate
  • Version control with Git and collaborative coding practicesintermediate
  • Monitoring tools like Prometheus, Grafana, or ELK stackintermediate
  • Soft skills in team leadership and mentoringintermediate
  • Adaptability to regulatory changes in the financial industryintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in AI/ML operations, DevOps, or data engineering roles within financial services or technology sectors (experience)
  • Proven track record of designing, deploying, and managing machine learning models in production environments (experience)
  • Strong understanding of cloud platforms such as AWS, Azure, or GCP, with experience in scalable infrastructure for AI workloads (experience)
  • Experience with MLOps tools and pipelines, including model monitoring, versioning, and CI/CD for ML (experience)
  • Knowledge of data privacy regulations like GDPR and financial compliance standards relevant to banking (experience)
  • Ability to collaborate with cross-functional teams in a fast-paced, regulated environment (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Experience in financial services, particularly in employee platforms or risk management applications (experience)
  • Certifications in AWS Certified Machine Learning, Google Professional ML Engineer, or similar (experience)
  • Familiarity with JPMorgan Chase's tech stack, including internal tools for secure data handling (experience)
  • Prior work on AI-driven personalization or analytics in enterprise settings (experience)

Responsibilities

  • Lead the design and deployment of AI/ML models to enhance JPMorgan Chase's employee platforms, driving business impact through data-driven insights
  • Develop and maintain MLOps pipelines for model training, validation, deployment, and monitoring in production
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable AI solutions
  • Ensure compliance with financial regulations and data security standards in all AI initiatives
  • Optimize infrastructure for AI workloads, leveraging cloud services to support high-volume data processing
  • Monitor and troubleshoot ML models in real-time, implementing automation for performance and reliability
  • Mentor junior engineers and contribute to best practices in AI/ML operations within the team
  • Integrate AI models with existing employee systems to revolutionize user experiences and operational efficiency
  • Conduct research on emerging AI technologies and recommend innovations for JPMorgan's financial services ecosystem

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • general: Employee stock purchase plan and financial wellness programs
  • general: Hybrid work model with flexibility for Dublin-based roles
  • general: Global mobility support and relocation assistance if applicable

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JP Morgan Chase logo

Lead AI/ML Ops Engineer

JP Morgan Chase

Software and Technology Jobs

Lead AI/ML Ops Engineer

full-timePosted: Nov 25, 2025

Job Description

Lead AI/ML Ops Engineer

Location: Dublin, Ireland

Job Family: Data Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming financial services through innovative technology. As a Lead AI/ML Ops Engineer in our Dublin, Ireland office, you will play a pivotal role in revolutionizing our employee platforms by designing and deploying cutting-edge machine learning models that deliver tangible business impact. Reporting to the Head of Data Engineering, you will lead initiatives to integrate AI and data science into core systems, enhancing employee productivity, personalization, and decision-making in a secure, compliant manner. This position within the Data Engineering category offers the opportunity to work on high-stakes projects that support JPMorgan's global operations, leveraging vast datasets to drive efficiency and innovation in banking services. Your day-to-day responsibilities will involve architecting robust MLOps pipelines to ensure seamless model lifecycle management, from development to production deployment. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and business analysts, to identify AI opportunities that align with JPMorgan's strategic goals, such as improving risk assessment or employee engagement tools. Emphasizing scalability and reliability, you will optimize cloud-based infrastructures to handle complex AI workloads while adhering to stringent financial regulations like GDPR and internal compliance frameworks. This role demands a proactive approach to monitoring model performance and iterating on solutions to maintain the highest standards of accuracy and security in our financial ecosystem. We seek a visionary leader passionate about AI's potential in finance, with the technical expertise to bridge the gap between innovative models and real-world applications. At JPMorgan Chase, you will contribute to a culture of excellence, where your work directly influences employee experiences and operational excellence. Join us in Dublin to shape the future of AI-driven employee platforms, benefiting from our world-class resources, collaborative environment, and commitment to professional growth in one of the most dynamic industries.

Key Responsibilities

  • Lead the design and deployment of AI/ML models to enhance JPMorgan Chase's employee platforms, driving business impact through data-driven insights
  • Develop and maintain MLOps pipelines for model training, validation, deployment, and monitoring in production
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable AI solutions
  • Ensure compliance with financial regulations and data security standards in all AI initiatives
  • Optimize infrastructure for AI workloads, leveraging cloud services to support high-volume data processing
  • Monitor and troubleshoot ML models in real-time, implementing automation for performance and reliability
  • Mentor junior engineers and contribute to best practices in AI/ML operations within the team
  • Integrate AI models with existing employee systems to revolutionize user experiences and operational efficiency
  • Conduct research on emerging AI technologies and recommend innovations for JPMorgan's financial services ecosystem

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred
  • 5+ years of experience in AI/ML operations, DevOps, or data engineering roles within financial services or technology sectors
  • Proven track record of designing, deploying, and managing machine learning models in production environments
  • Strong understanding of cloud platforms such as AWS, Azure, or GCP, with experience in scalable infrastructure for AI workloads
  • Experience with MLOps tools and pipelines, including model monitoring, versioning, and CI/CD for ML
  • Knowledge of data privacy regulations like GDPR and financial compliance standards relevant to banking
  • Ability to collaborate with cross-functional teams in a fast-paced, regulated environment

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline
  • Experience in financial services, particularly in employee platforms or risk management applications
  • Certifications in AWS Certified Machine Learning, Google Professional ML Engineer, or similar
  • Familiarity with JPMorgan Chase's tech stack, including internal tools for secure data handling
  • Prior work on AI-driven personalization or analytics in enterprise settings

Required Skills

  • Proficiency in Python, R, or Java for AI/ML development
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Strong DevOps skills with tools such as Docker, Kubernetes, and Terraform
  • Experience with CI/CD pipelines using Jenkins, GitLab CI, or similar
  • Knowledge of big data technologies including Spark, Hadoop, or Kafka
  • Familiarity with model serving tools like MLflow, Kubeflow, or SageMaker
  • Understanding of data governance, security, and compliance in finance
  • Analytical problem-solving and debugging skills for complex systems
  • Excellent communication and stakeholder management abilities
  • Agile methodologies and project management experience
  • Cloud architecture design for AI scalability
  • Version control with Git and collaborative coding practices
  • Monitoring tools like Prometheus, Grafana, or ELK stack
  • Soft skills in team leadership and mentoring
  • Adaptability to regulatory changes in the financial industry

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Retirement savings plan with generous company matching contributions
  • Paid time off, including vacation, sick leave, and parental leave
  • Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • Employee stock purchase plan and financial wellness programs
  • Hybrid work model with flexibility for Dublin-based roles
  • Global mobility support and relocation assistance if applicable

JP Morgan Chase is an equal opportunity employer.

Locations

  • Dublin, IE

Salary

Estimated Salary Rangehigh confidence

95,000 - 150,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, R, or Java for AI/ML developmentintermediate
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Strong DevOps skills with tools such as Docker, Kubernetes, and Terraformintermediate
  • Experience with CI/CD pipelines using Jenkins, GitLab CI, or similarintermediate
  • Knowledge of big data technologies including Spark, Hadoop, or Kafkaintermediate
  • Familiarity with model serving tools like MLflow, Kubeflow, or SageMakerintermediate
  • Understanding of data governance, security, and compliance in financeintermediate
  • Analytical problem-solving and debugging skills for complex systemsintermediate
  • Excellent communication and stakeholder management abilitiesintermediate
  • Agile methodologies and project management experienceintermediate
  • Cloud architecture design for AI scalabilityintermediate
  • Version control with Git and collaborative coding practicesintermediate
  • Monitoring tools like Prometheus, Grafana, or ELK stackintermediate
  • Soft skills in team leadership and mentoringintermediate
  • Adaptability to regulatory changes in the financial industryintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred (experience)
  • 5+ years of experience in AI/ML operations, DevOps, or data engineering roles within financial services or technology sectors (experience)
  • Proven track record of designing, deploying, and managing machine learning models in production environments (experience)
  • Strong understanding of cloud platforms such as AWS, Azure, or GCP, with experience in scalable infrastructure for AI workloads (experience)
  • Experience with MLOps tools and pipelines, including model monitoring, versioning, and CI/CD for ML (experience)
  • Knowledge of data privacy regulations like GDPR and financial compliance standards relevant to banking (experience)
  • Ability to collaborate with cross-functional teams in a fast-paced, regulated environment (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or related discipline (experience)
  • Experience in financial services, particularly in employee platforms or risk management applications (experience)
  • Certifications in AWS Certified Machine Learning, Google Professional ML Engineer, or similar (experience)
  • Familiarity with JPMorgan Chase's tech stack, including internal tools for secure data handling (experience)
  • Prior work on AI-driven personalization or analytics in enterprise settings (experience)

Responsibilities

  • Lead the design and deployment of AI/ML models to enhance JPMorgan Chase's employee platforms, driving business impact through data-driven insights
  • Develop and maintain MLOps pipelines for model training, validation, deployment, and monitoring in production
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable AI solutions
  • Ensure compliance with financial regulations and data security standards in all AI initiatives
  • Optimize infrastructure for AI workloads, leveraging cloud services to support high-volume data processing
  • Monitor and troubleshoot ML models in real-time, implementing automation for performance and reliability
  • Mentor junior engineers and contribute to best practices in AI/ML operations within the team
  • Integrate AI models with existing employee systems to revolutionize user experiences and operational efficiency
  • Conduct research on emerging AI technologies and recommend innovations for JPMorgan's financial services ecosystem

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Retirement savings plan with generous company matching contributions
  • general: Paid time off, including vacation, sick leave, and parental leave
  • general: Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
  • general: Employee stock purchase plan and financial wellness programs
  • general: Hybrid work model with flexibility for Dublin-based roles
  • general: Global mobility support and relocation assistance if applicable

Target Your Resume for "Lead AI/ML Ops Engineer" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Lead AI/ML Ops Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Lead AI/ML Ops Engineer" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringFinancial ServicesBankingJP MorganData Engineering

Answer 10 quick questions to check your fit for Lead AI/ML Ops Engineer @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.