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Software Engineer III - Cloud, AI ML

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - Cloud, AI ML

full-timePosted: Nov 3, 2025

Job Description

Software Engineer III - Cloud, AI ML

Location: BOURNEMOUTH, DORSET, United Kingdom

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through innovative technology. As a Software Engineer III - Cloud, AI ML in our Bournemouth, Dorset office, you will join a dynamic agile team dedicated to designing and delivering market-leading technology products that are secure, scalable, and resilient. In this role, you will leverage your expertise in cloud platforms and AI/ML to build solutions that power critical banking functions, such as real-time fraud detection, algorithmic trading, and personalized customer experiences. Your work will directly impact millions of clients globally, ensuring our technology drives efficiency and innovation in a highly regulated environment. Key to success in this position is your ability to architect cloud-native applications using AWS or Azure, integrating machine learning models with frameworks like TensorFlow or PyTorch to handle vast datasets from financial markets. You will collaborate with data scientists, product managers, and compliance experts to translate business requirements into robust, production-ready code. Responsibilities include developing AI-driven analytics for risk assessment, optimizing ML pipelines for performance, and ensuring all solutions meet stringent security standards like those mandated by the FCA and GDPR. This role offers the opportunity to mentor team members and contribute to strategic tech initiatives that shape the future of digital banking at JPMorgan Chase. We value engineers who thrive in fast-paced, collaborative settings and are passionate about the intersection of technology and finance. With access to cutting-edge tools and resources, you will continuously learn and innovate, supported by our commitment to work-life balance and professional growth. Join us in Bournemouth to be part of a team that not only builds world-class software but also upholds the highest standards of integrity and client trust in the global financial landscape.

Key Responsibilities

  • Design, develop, and deploy cloud-native applications leveraging AI/ML technologies to support JPMorgan Chase's financial products
  • Collaborate with cross-functional agile teams to deliver secure, scalable solutions for trading, risk management, and customer analytics
  • Implement and optimize machine learning models for predictive analytics in areas like market forecasting and credit risk
  • Ensure adherence to security protocols and regulatory compliance in all software deliverables
  • Conduct code reviews, testing, and debugging to maintain high-quality standards in a fast-paced environment
  • Integrate AI/ML pipelines with cloud infrastructure to handle large-scale data processing for financial services
  • Mentor junior engineers and contribute to technical roadmaps for innovative tech initiatives
  • Monitor and troubleshoot production systems to ensure reliability and performance in global banking operations
  • Stay updated on emerging cloud and AI trends to drive continuous improvement in technology stacks

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of professional software engineering experience
  • Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Demonstrated ability to work in agile environments with version control systems like Git
  • Knowledge of secure coding practices and compliance standards in financial services
  • Experience with scalable system design and deployment in production environments

Preferred Qualifications

  • Master's degree in Computer Science or Data Science
  • Experience in financial services or fintech industry
  • Certifications in cloud (e.g., AWS Certified Solutions Architect) or AI/ML
  • Familiarity with regulatory frameworks like GDPR, PCI-DSS in banking
  • Prior work on AI/ML models for risk assessment or fraud detection

Required Skills

  • Proficiency in Python, Java, or Scala for backend development
  • Expertise in cloud computing (AWS, Azure) and containerization (Docker, Kubernetes)
  • Strong knowledge of AI/ML algorithms, data pipelines, and model deployment
  • Experience with big data tools like Spark, Hadoop for financial data processing
  • Secure software development lifecycle (SDLC) practices
  • Agile methodologies and tools like Jira, Confluence
  • Database management (SQL, NoSQL) for handling transactional and analytical data
  • API design and microservices architecture
  • Problem-solving and analytical thinking in complex environments
  • Communication and collaboration skills for team and stakeholder interactions
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)
  • Understanding of financial domain concepts like risk modeling and compliance
  • Performance optimization for scalable systems
  • Adaptability to evolving technologies in fintech

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension plan contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities with tuition reimbursement and certifications
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible hybrid work arrangements and relocation assistance for UK roles

JP Morgan Chase is an equal opportunity employer.

Locations

  • BOURNEMOUTH, GB

Salary

Estimated Salary Rangemedium confidence

75,000 - 120,000 GBP / 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, Java, or Scala for backend developmentintermediate
  • Expertise in cloud computing (AWS, Azure) and containerization (Docker, Kubernetes)intermediate
  • Strong knowledge of AI/ML algorithms, data pipelines, and model deploymentintermediate
  • Experience with big data tools like Spark, Hadoop for financial data processingintermediate
  • Secure software development lifecycle (SDLC) practicesintermediate
  • Agile methodologies and tools like Jira, Confluenceintermediate
  • Database management (SQL, NoSQL) for handling transactional and analytical dataintermediate
  • API design and microservices architectureintermediate
  • Problem-solving and analytical thinking in complex environmentsintermediate
  • Communication and collaboration skills for team and stakeholder interactionsintermediate
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)intermediate
  • Understanding of financial domain concepts like risk modeling and complianceintermediate
  • Performance optimization for scalable systemsintermediate
  • Adaptability to evolving technologies in fintechintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • 5+ years of professional software engineering experience (experience)
  • Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud (experience)
  • Experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn (experience)
  • Demonstrated ability to work in agile environments with version control systems like Git (experience)
  • Knowledge of secure coding practices and compliance standards in financial services (experience)
  • Experience with scalable system design and deployment in production environments (experience)

Preferred Qualifications

  • Master's degree in Computer Science or Data Science (experience)
  • Experience in financial services or fintech industry (experience)
  • Certifications in cloud (e.g., AWS Certified Solutions Architect) or AI/ML (experience)
  • Familiarity with regulatory frameworks like GDPR, PCI-DSS in banking (experience)
  • Prior work on AI/ML models for risk assessment or fraud detection (experience)

Responsibilities

  • Design, develop, and deploy cloud-native applications leveraging AI/ML technologies to support JPMorgan Chase's financial products
  • Collaborate with cross-functional agile teams to deliver secure, scalable solutions for trading, risk management, and customer analytics
  • Implement and optimize machine learning models for predictive analytics in areas like market forecasting and credit risk
  • Ensure adherence to security protocols and regulatory compliance in all software deliverables
  • Conduct code reviews, testing, and debugging to maintain high-quality standards in a fast-paced environment
  • Integrate AI/ML pipelines with cloud infrastructure to handle large-scale data processing for financial services
  • Mentor junior engineers and contribute to technical roadmaps for innovative tech initiatives
  • Monitor and troubleshoot production systems to ensure reliability and performance in global banking operations
  • Stay updated on emerging cloud and AI trends to drive continuous improvement in technology stacks

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous 401(k) matching and pension plan contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities with tuition reimbursement and certifications
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible hybrid work arrangements and relocation assistance for UK roles

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JP Morgan Chase logo

Software Engineer III - Cloud, AI ML

JP Morgan Chase

Software and Technology Jobs

Software Engineer III - Cloud, AI ML

full-timePosted: Nov 3, 2025

Job Description

Software Engineer III - Cloud, AI ML

Location: BOURNEMOUTH, DORSET, United Kingdom

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services industry through innovative technology. As a Software Engineer III - Cloud, AI ML in our Bournemouth, Dorset office, you will join a dynamic agile team dedicated to designing and delivering market-leading technology products that are secure, scalable, and resilient. In this role, you will leverage your expertise in cloud platforms and AI/ML to build solutions that power critical banking functions, such as real-time fraud detection, algorithmic trading, and personalized customer experiences. Your work will directly impact millions of clients globally, ensuring our technology drives efficiency and innovation in a highly regulated environment. Key to success in this position is your ability to architect cloud-native applications using AWS or Azure, integrating machine learning models with frameworks like TensorFlow or PyTorch to handle vast datasets from financial markets. You will collaborate with data scientists, product managers, and compliance experts to translate business requirements into robust, production-ready code. Responsibilities include developing AI-driven analytics for risk assessment, optimizing ML pipelines for performance, and ensuring all solutions meet stringent security standards like those mandated by the FCA and GDPR. This role offers the opportunity to mentor team members and contribute to strategic tech initiatives that shape the future of digital banking at JPMorgan Chase. We value engineers who thrive in fast-paced, collaborative settings and are passionate about the intersection of technology and finance. With access to cutting-edge tools and resources, you will continuously learn and innovate, supported by our commitment to work-life balance and professional growth. Join us in Bournemouth to be part of a team that not only builds world-class software but also upholds the highest standards of integrity and client trust in the global financial landscape.

Key Responsibilities

  • Design, develop, and deploy cloud-native applications leveraging AI/ML technologies to support JPMorgan Chase's financial products
  • Collaborate with cross-functional agile teams to deliver secure, scalable solutions for trading, risk management, and customer analytics
  • Implement and optimize machine learning models for predictive analytics in areas like market forecasting and credit risk
  • Ensure adherence to security protocols and regulatory compliance in all software deliverables
  • Conduct code reviews, testing, and debugging to maintain high-quality standards in a fast-paced environment
  • Integrate AI/ML pipelines with cloud infrastructure to handle large-scale data processing for financial services
  • Mentor junior engineers and contribute to technical roadmaps for innovative tech initiatives
  • Monitor and troubleshoot production systems to ensure reliability and performance in global banking operations
  • Stay updated on emerging cloud and AI trends to drive continuous improvement in technology stacks

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of professional software engineering experience
  • Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Demonstrated ability to work in agile environments with version control systems like Git
  • Knowledge of secure coding practices and compliance standards in financial services
  • Experience with scalable system design and deployment in production environments

Preferred Qualifications

  • Master's degree in Computer Science or Data Science
  • Experience in financial services or fintech industry
  • Certifications in cloud (e.g., AWS Certified Solutions Architect) or AI/ML
  • Familiarity with regulatory frameworks like GDPR, PCI-DSS in banking
  • Prior work on AI/ML models for risk assessment or fraud detection

Required Skills

  • Proficiency in Python, Java, or Scala for backend development
  • Expertise in cloud computing (AWS, Azure) and containerization (Docker, Kubernetes)
  • Strong knowledge of AI/ML algorithms, data pipelines, and model deployment
  • Experience with big data tools like Spark, Hadoop for financial data processing
  • Secure software development lifecycle (SDLC) practices
  • Agile methodologies and tools like Jira, Confluence
  • Database management (SQL, NoSQL) for handling transactional and analytical data
  • API design and microservices architecture
  • Problem-solving and analytical thinking in complex environments
  • Communication and collaboration skills for team and stakeholder interactions
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)
  • Understanding of financial domain concepts like risk modeling and compliance
  • Performance optimization for scalable systems
  • Adaptability to evolving technologies in fintech

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension plan contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities with tuition reimbursement and certifications
  • Employee stock purchase plan and financial wellness programs
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible hybrid work arrangements and relocation assistance for UK roles

JP Morgan Chase is an equal opportunity employer.

Locations

  • BOURNEMOUTH, GB

Salary

Estimated Salary Rangemedium confidence

75,000 - 120,000 GBP / 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, Java, or Scala for backend developmentintermediate
  • Expertise in cloud computing (AWS, Azure) and containerization (Docker, Kubernetes)intermediate
  • Strong knowledge of AI/ML algorithms, data pipelines, and model deploymentintermediate
  • Experience with big data tools like Spark, Hadoop for financial data processingintermediate
  • Secure software development lifecycle (SDLC) practicesintermediate
  • Agile methodologies and tools like Jira, Confluenceintermediate
  • Database management (SQL, NoSQL) for handling transactional and analytical dataintermediate
  • API design and microservices architectureintermediate
  • Problem-solving and analytical thinking in complex environmentsintermediate
  • Communication and collaboration skills for team and stakeholder interactionsintermediate
  • Version control with Git and CI/CD pipelines (Jenkins, GitHub Actions)intermediate
  • Understanding of financial domain concepts like risk modeling and complianceintermediate
  • Performance optimization for scalable systemsintermediate
  • Adaptability to evolving technologies in fintechintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (experience)
  • 5+ years of professional software engineering experience (experience)
  • Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud (experience)
  • Experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn (experience)
  • Demonstrated ability to work in agile environments with version control systems like Git (experience)
  • Knowledge of secure coding practices and compliance standards in financial services (experience)
  • Experience with scalable system design and deployment in production environments (experience)

Preferred Qualifications

  • Master's degree in Computer Science or Data Science (experience)
  • Experience in financial services or fintech industry (experience)
  • Certifications in cloud (e.g., AWS Certified Solutions Architect) or AI/ML (experience)
  • Familiarity with regulatory frameworks like GDPR, PCI-DSS in banking (experience)
  • Prior work on AI/ML models for risk assessment or fraud detection (experience)

Responsibilities

  • Design, develop, and deploy cloud-native applications leveraging AI/ML technologies to support JPMorgan Chase's financial products
  • Collaborate with cross-functional agile teams to deliver secure, scalable solutions for trading, risk management, and customer analytics
  • Implement and optimize machine learning models for predictive analytics in areas like market forecasting and credit risk
  • Ensure adherence to security protocols and regulatory compliance in all software deliverables
  • Conduct code reviews, testing, and debugging to maintain high-quality standards in a fast-paced environment
  • Integrate AI/ML pipelines with cloud infrastructure to handle large-scale data processing for financial services
  • Mentor junior engineers and contribute to technical roadmaps for innovative tech initiatives
  • Monitor and troubleshoot production systems to ensure reliability and performance in global banking operations
  • Stay updated on emerging cloud and AI trends to drive continuous improvement in technology stacks

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous 401(k) matching and pension plan contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities with tuition reimbursement and certifications
  • general: Employee stock purchase plan and financial wellness programs
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible hybrid work arrangements and relocation assistance for UK roles

Target Your Resume for "Software Engineer III - Cloud, AI ML" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Software Engineer III - Cloud, AI ML. Takes only 15 seconds!

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

Check Your ATS Score for "Software Engineer III - Cloud, AI ML" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Software Engineer III - Cloud, AI ML @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.