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Lead Software Engineer - Cloud AI/ML

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - Cloud AI/ML

full-timePosted: Oct 28, 2025

Job Description

Lead Software Engineer - Cloud AI/ML

Location: BOURNEMOUTH, DORSET, United Kingdom

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global banking, investment, and asset management services. As a Lead Software Engineer - Cloud AI/ML in our Bournemouth, Dorset location, you will play a pivotal role in an agile team delivering critical tech solutions across multiple domains. This position involves architecting and deploying AI/ML models that enhance risk management, fraud prevention, and personalized client experiences in the fast-paced financial services industry. You will collaborate with diverse teams to integrate machine learning into cloud-based platforms, ensuring robust, scalable systems that comply with stringent regulatory requirements like those from the FCA and GDPR. Your responsibilities will span the full lifecycle of AI/ML projects, from ideation and prototyping to production deployment and optimization. You will lead efforts to build intelligent systems that process vast financial datasets, predict market trends, and automate compliance checks, all while utilizing cloud technologies such as AWS or Azure to drive efficiency. As a leader, you will mentor engineers, foster a culture of innovation, and contribute to JP Morgan's commitment to ethical AI practices, safeguarding client data and maintaining trust in our operations. This role demands a blend of technical expertise and strategic thinking to solve complex challenges in a high-stakes environment. Joining JP Morgan Chase means being part of a world-class organization that values diversity, inclusion, and professional growth. In Bournemouth, you will benefit from a collaborative workspace that supports hybrid work models and access to global resources. We offer opportunities to work on transformative projects that impact millions of customers worldwide, with a focus on sustainable finance and technological advancement. If you are passionate about AI/ML and eager to shape the future of banking, this position provides the platform to excel and advance your career in one of the UK's leading financial hubs.

Key Responsibilities

  • Design and implement cloud-native AI/ML solutions to support critical financial services applications, ensuring scalability and performance
  • Lead agile teams in developing machine learning models for risk assessment, fraud detection, and predictive analytics in banking operations
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI/ML into JP Morgan's trading and client services platforms
  • Optimize cloud infrastructure on platforms like AWS or Azure to handle high-volume financial data processing
  • Ensure compliance with financial regulations and data security standards in all AI/ML deployments
  • Mentor junior engineers and drive best practices in code quality, testing, and DevOps for AI systems
  • Troubleshoot and resolve complex technical issues in production environments, minimizing downtime for mission-critical services
  • Stay abreast of emerging AI/ML trends and evaluate their applicability to JP Morgan's financial innovation initiatives
  • Contribute to architectural decisions for multi-cloud strategies supporting global banking operations

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 7+ years of experience in software engineering with a focus on cloud platforms and AI/ML technologies
  • Proven track record in developing and deploying scalable AI/ML solutions in a financial services environment
  • Strong understanding of agile methodologies and experience working in cross-functional teams
  • Experience with data privacy and regulatory compliance standards such as GDPR and financial regulations
  • Demonstrated leadership in guiding engineering teams through complex technical projects

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Experience with JP Morgan's internal tech stack or similar enterprise financial systems
  • Certifications in AWS, Azure, or Google Cloud for AI/ML services
  • Prior work in fraud detection, risk modeling, or algorithmic trading within banking

Required Skills

  • Proficiency in Python, Java, or Scala for AI/ML development
  • Expertise in cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform
  • Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Experience with big data technologies including Hadoop, Spark, and Kafka
  • Understanding of containerization and orchestration tools like Docker and Kubernetes
  • Skills in DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation)
  • Familiarity with financial data modeling, time-series analysis, and quantitative finance
  • Excellent problem-solving and analytical thinking abilities
  • Strong communication and collaboration skills for cross-team interactions
  • Leadership and mentoring capabilities in technical environments
  • Knowledge of cybersecurity best practices for AI systems in regulated industries
  • Proficiency in SQL and NoSQL databases for handling financial datasets
  • Ability to work with APIs and microservices architectures
  • Adaptability to fast-paced, innovative settings in global finance

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities with tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • Hybrid work flexibility and relocation assistance for eligible roles
  • Wellness programs including gym memberships and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • BOURNEMOUTH, GB

Salary

Estimated Salary Rangemedium confidence

85,000 - 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 AI/ML developmentintermediate
  • Expertise in cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platformintermediate
  • Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Experience with big data technologies including Hadoop, Spark, and Kafkaintermediate
  • Understanding of containerization and orchestration tools like Docker and Kubernetesintermediate
  • Skills in DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation)intermediate
  • Familiarity with financial data modeling, time-series analysis, and quantitative financeintermediate
  • Excellent problem-solving and analytical thinking abilitiesintermediate
  • Strong communication and collaboration skills for cross-team interactionsintermediate
  • Leadership and mentoring capabilities in technical environmentsintermediate
  • Knowledge of cybersecurity best practices for AI systems in regulated industriesintermediate
  • Proficiency in SQL and NoSQL databases for handling financial datasetsintermediate
  • Ability to work with APIs and microservices architecturesintermediate
  • Adaptability to fast-paced, innovative settings in global financeintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 7+ years of experience in software engineering with a focus on cloud platforms and AI/ML technologies (experience)
  • Proven track record in developing and deploying scalable AI/ML solutions in a financial services environment (experience)
  • Strong understanding of agile methodologies and experience working in cross-functional teams (experience)
  • Experience with data privacy and regulatory compliance standards such as GDPR and financial regulations (experience)
  • Demonstrated leadership in guiding engineering teams through complex technical projects (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Experience with JP Morgan's internal tech stack or similar enterprise financial systems (experience)
  • Certifications in AWS, Azure, or Google Cloud for AI/ML services (experience)
  • Prior work in fraud detection, risk modeling, or algorithmic trading within banking (experience)

Responsibilities

  • Design and implement cloud-native AI/ML solutions to support critical financial services applications, ensuring scalability and performance
  • Lead agile teams in developing machine learning models for risk assessment, fraud detection, and predictive analytics in banking operations
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI/ML into JP Morgan's trading and client services platforms
  • Optimize cloud infrastructure on platforms like AWS or Azure to handle high-volume financial data processing
  • Ensure compliance with financial regulations and data security standards in all AI/ML deployments
  • Mentor junior engineers and drive best practices in code quality, testing, and DevOps for AI systems
  • Troubleshoot and resolve complex technical issues in production environments, minimizing downtime for mission-critical services
  • Stay abreast of emerging AI/ML trends and evaluate their applicability to JP Morgan's financial innovation initiatives
  • Contribute to architectural decisions for multi-cloud strategies supporting global banking operations

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 contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities with tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: Hybrid work flexibility and relocation assistance for eligible roles
  • general: Wellness programs including gym memberships and mental health support

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JP Morgan Chase logo

Lead Software Engineer - Cloud AI/ML

JP Morgan Chase

Software and Technology Jobs

Lead Software Engineer - Cloud AI/ML

full-timePosted: Oct 28, 2025

Job Description

Lead Software Engineer - Cloud AI/ML

Location: BOURNEMOUTH, DORSET, United Kingdom

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge technology to power global banking, investment, and asset management services. As a Lead Software Engineer - Cloud AI/ML in our Bournemouth, Dorset location, you will play a pivotal role in an agile team delivering critical tech solutions across multiple domains. This position involves architecting and deploying AI/ML models that enhance risk management, fraud prevention, and personalized client experiences in the fast-paced financial services industry. You will collaborate with diverse teams to integrate machine learning into cloud-based platforms, ensuring robust, scalable systems that comply with stringent regulatory requirements like those from the FCA and GDPR. Your responsibilities will span the full lifecycle of AI/ML projects, from ideation and prototyping to production deployment and optimization. You will lead efforts to build intelligent systems that process vast financial datasets, predict market trends, and automate compliance checks, all while utilizing cloud technologies such as AWS or Azure to drive efficiency. As a leader, you will mentor engineers, foster a culture of innovation, and contribute to JP Morgan's commitment to ethical AI practices, safeguarding client data and maintaining trust in our operations. This role demands a blend of technical expertise and strategic thinking to solve complex challenges in a high-stakes environment. Joining JP Morgan Chase means being part of a world-class organization that values diversity, inclusion, and professional growth. In Bournemouth, you will benefit from a collaborative workspace that supports hybrid work models and access to global resources. We offer opportunities to work on transformative projects that impact millions of customers worldwide, with a focus on sustainable finance and technological advancement. If you are passionate about AI/ML and eager to shape the future of banking, this position provides the platform to excel and advance your career in one of the UK's leading financial hubs.

Key Responsibilities

  • Design and implement cloud-native AI/ML solutions to support critical financial services applications, ensuring scalability and performance
  • Lead agile teams in developing machine learning models for risk assessment, fraud detection, and predictive analytics in banking operations
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI/ML into JP Morgan's trading and client services platforms
  • Optimize cloud infrastructure on platforms like AWS or Azure to handle high-volume financial data processing
  • Ensure compliance with financial regulations and data security standards in all AI/ML deployments
  • Mentor junior engineers and drive best practices in code quality, testing, and DevOps for AI systems
  • Troubleshoot and resolve complex technical issues in production environments, minimizing downtime for mission-critical services
  • Stay abreast of emerging AI/ML trends and evaluate their applicability to JP Morgan's financial innovation initiatives
  • Contribute to architectural decisions for multi-cloud strategies supporting global banking operations

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 7+ years of experience in software engineering with a focus on cloud platforms and AI/ML technologies
  • Proven track record in developing and deploying scalable AI/ML solutions in a financial services environment
  • Strong understanding of agile methodologies and experience working in cross-functional teams
  • Experience with data privacy and regulatory compliance standards such as GDPR and financial regulations
  • Demonstrated leadership in guiding engineering teams through complex technical projects

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science
  • Experience with JP Morgan's internal tech stack or similar enterprise financial systems
  • Certifications in AWS, Azure, or Google Cloud for AI/ML services
  • Prior work in fraud detection, risk modeling, or algorithmic trading within banking

Required Skills

  • Proficiency in Python, Java, or Scala for AI/ML development
  • Expertise in cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform
  • Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Experience with big data technologies including Hadoop, Spark, and Kafka
  • Understanding of containerization and orchestration tools like Docker and Kubernetes
  • Skills in DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation)
  • Familiarity with financial data modeling, time-series analysis, and quantitative finance
  • Excellent problem-solving and analytical thinking abilities
  • Strong communication and collaboration skills for cross-team interactions
  • Leadership and mentoring capabilities in technical environments
  • Knowledge of cybersecurity best practices for AI systems in regulated industries
  • Proficiency in SQL and NoSQL databases for handling financial datasets
  • Ability to work with APIs and microservices architectures
  • Adaptability to fast-paced, innovative settings in global finance

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities with tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • Hybrid work flexibility and relocation assistance for eligible roles
  • Wellness programs including gym memberships and mental health support

JP Morgan Chase is an equal opportunity employer.

Locations

  • BOURNEMOUTH, GB

Salary

Estimated Salary Rangemedium confidence

85,000 - 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 AI/ML developmentintermediate
  • Expertise in cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platformintermediate
  • Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learnintermediate
  • Experience with big data technologies including Hadoop, Spark, and Kafkaintermediate
  • Understanding of containerization and orchestration tools like Docker and Kubernetesintermediate
  • Skills in DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation)intermediate
  • Familiarity with financial data modeling, time-series analysis, and quantitative financeintermediate
  • Excellent problem-solving and analytical thinking abilitiesintermediate
  • Strong communication and collaboration skills for cross-team interactionsintermediate
  • Leadership and mentoring capabilities in technical environmentsintermediate
  • Knowledge of cybersecurity best practices for AI systems in regulated industriesintermediate
  • Proficiency in SQL and NoSQL databases for handling financial datasetsintermediate
  • Ability to work with APIs and microservices architecturesintermediate
  • Adaptability to fast-paced, innovative settings in global financeintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 7+ years of experience in software engineering with a focus on cloud platforms and AI/ML technologies (experience)
  • Proven track record in developing and deploying scalable AI/ML solutions in a financial services environment (experience)
  • Strong understanding of agile methodologies and experience working in cross-functional teams (experience)
  • Experience with data privacy and regulatory compliance standards such as GDPR and financial regulations (experience)
  • Demonstrated leadership in guiding engineering teams through complex technical projects (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Data Science (experience)
  • Experience with JP Morgan's internal tech stack or similar enterprise financial systems (experience)
  • Certifications in AWS, Azure, or Google Cloud for AI/ML services (experience)
  • Prior work in fraud detection, risk modeling, or algorithmic trading within banking (experience)

Responsibilities

  • Design and implement cloud-native AI/ML solutions to support critical financial services applications, ensuring scalability and performance
  • Lead agile teams in developing machine learning models for risk assessment, fraud detection, and predictive analytics in banking operations
  • Collaborate with data scientists, product managers, and stakeholders to integrate AI/ML into JP Morgan's trading and client services platforms
  • Optimize cloud infrastructure on platforms like AWS or Azure to handle high-volume financial data processing
  • Ensure compliance with financial regulations and data security standards in all AI/ML deployments
  • Mentor junior engineers and drive best practices in code quality, testing, and DevOps for AI systems
  • Troubleshoot and resolve complex technical issues in production environments, minimizing downtime for mission-critical services
  • Stay abreast of emerging AI/ML trends and evaluate their applicability to JP Morgan's financial innovation initiatives
  • Contribute to architectural decisions for multi-cloud strategies supporting global banking operations

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 contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities with tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: Hybrid work flexibility and relocation assistance for eligible roles
  • general: Wellness programs including gym memberships and mental health support

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

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

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

Check Your ATS Score for "Lead Software Engineer - 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 Lead Software Engineer - 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.