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Applied AI ML Associate

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Associate

full-timePosted: Dec 8, 2025

Job Description

Applied AI ML Associate

Location: GLASGOW, LANARKSHIRE, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to drive innovation in the financial services industry. As a Senior Applied AI/ML Associate in our Predictive Science team, based in Glasgow, Lanarkshire, United Kingdom, you will join a dynamic group of innovators and technologists dedicated to revolutionizing how we predict market trends, manage risks, and enhance customer experiences. Your role will involve applying cutting-edge AI techniques to real-world financial challenges, such as developing predictive models for credit risk assessment, algorithmic trading strategies, and personalized wealth management solutions. This position offers the opportunity to work on high-impact projects that shape the future of global finance while contributing to a culture of excellence and collaboration at one of the world's leading financial institutions. In this role, you will collaborate closely with data engineers, quantitative analysts, and business leaders to design, build, and deploy scalable ML solutions that deliver measurable value. You will analyze vast datasets from trading platforms, customer interactions, and market feeds to uncover insights that inform strategic decisions. Responsibilities include experimenting with advanced algorithms like neural networks and reinforcement learning, ensuring models are robust against financial volatilities, and integrating AI outputs into JP Morgan Chase's proprietary systems. Your work will adhere to stringent regulatory requirements, including GDPR and Basel III, promoting responsible AI that upholds trust and integrity in our operations. We seek passionate professionals who thrive in a fast-paced environment and are eager to push the boundaries of predictive science in finance. This position not only provides exposure to state-of-the-art technologies but also offers robust career growth through mentorship, global projects, and access to JP Morgan Chase's vast resources. If you are ready to make a tangible impact on the financial landscape, join us in Glasgow to innovate and excel.

Key Responsibilities

  • Develop and implement advanced AI/ML models to enhance predictive analytics in areas like risk management, fraud detection, and customer personalization
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to identify AI opportunities in financial services
  • Design, train, and optimize machine learning algorithms using large-scale financial datasets
  • Conduct data preprocessing, feature engineering, and model validation to ensure accuracy and compliance with regulatory standards
  • Deploy ML models into production environments, monitoring performance and iterating based on real-world financial outcomes
  • Stay abreast of emerging AI technologies and apply them to solve complex challenges in investment banking and asset management
  • Contribute to ethical AI practices, ensuring models are fair, transparent, and aligned with JP Morgan Chase's risk frameworks
  • Document methodologies, results, and insights to support decision-making in high-stakes financial operations
  • Mentor junior team members and participate in knowledge-sharing sessions within the Predictive Science team

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • At least 3-5 years of professional experience in applied AI/ML roles, preferably in financial services
  • Proven track record of developing and deploying machine learning models in production environments
  • Strong proficiency in Python or R for data analysis and model building
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML workflows
  • Excellent problem-solving abilities and attention to detail in handling complex datasets

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or a related field
  • Experience in financial modeling, risk assessment, or fraud detection within banking
  • Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer
  • Background in predictive analytics for trading, customer insights, or regulatory compliance
  • Prior work at a major financial institution or fintech company

Required Skills

  • Machine Learning and Deep Learning expertise
  • Python programming proficiency
  • Data analysis and statistical modeling
  • SQL and database querying
  • Big data technologies like Hadoop or Spark
  • Model deployment and MLOps practices
  • Financial domain knowledge in banking and investments
  • Problem-solving and analytical thinking
  • Communication and collaboration skills
  • Attention to ethical AI and regulatory compliance
  • Version control with Git
  • Cloud computing experience
  • Time management in fast-paced environments
  • Adaptability to innovative technologies
  • Team leadership and mentoring abilities

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
  • Flexible work arrangements including hybrid options in Glasgow
  • Wellness programs, gym memberships, and mental health support services

JP Morgan Chase is an equal opportunity employer.

Locations

  • GLASGOW, GB

Salary

Estimated Salary Rangemedium confidence

65,000 - 95,000 GBP / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning and Deep Learning expertiseintermediate
  • Python programming proficiencyintermediate
  • Data analysis and statistical modelingintermediate
  • SQL and database queryingintermediate
  • Big data technologies like Hadoop or Sparkintermediate
  • Model deployment and MLOps practicesintermediate
  • Financial domain knowledge in banking and investmentsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and collaboration skillsintermediate
  • Attention to ethical AI and regulatory complianceintermediate
  • Version control with Gitintermediate
  • Cloud computing experienceintermediate
  • Time management in fast-paced environmentsintermediate
  • Adaptability to innovative technologiesintermediate
  • Team leadership and mentoring abilitiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (experience)
  • At least 3-5 years of professional experience in applied AI/ML roles, preferably in financial services (experience)
  • Proven track record of developing and deploying machine learning models in production environments (experience)
  • Strong proficiency in Python or R for data analysis and model building (experience)
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML workflows (experience)
  • Excellent problem-solving abilities and attention to detail in handling complex datasets (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or a related field (experience)
  • Experience in financial modeling, risk assessment, or fraud detection within banking (experience)
  • Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer (experience)
  • Background in predictive analytics for trading, customer insights, or regulatory compliance (experience)
  • Prior work at a major financial institution or fintech company (experience)

Responsibilities

  • Develop and implement advanced AI/ML models to enhance predictive analytics in areas like risk management, fraud detection, and customer personalization
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to identify AI opportunities in financial services
  • Design, train, and optimize machine learning algorithms using large-scale financial datasets
  • Conduct data preprocessing, feature engineering, and model validation to ensure accuracy and compliance with regulatory standards
  • Deploy ML models into production environments, monitoring performance and iterating based on real-world financial outcomes
  • Stay abreast of emerging AI technologies and apply them to solve complex challenges in investment banking and asset management
  • Contribute to ethical AI practices, ensuring models are fair, transparent, and aligned with JP Morgan Chase's risk frameworks
  • Document methodologies, results, and insights to support decision-making in high-stakes financial operations
  • Mentor junior team members and participate in knowledge-sharing sessions within the Predictive Science team

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: Flexible work arrangements including hybrid options in Glasgow
  • general: Wellness programs, gym memberships, and mental health support services

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JP Morgan Chase logo

Applied AI ML Associate

JP Morgan Chase

Software and Technology Jobs

Applied AI ML Associate

full-timePosted: Dec 8, 2025

Job Description

Applied AI ML Associate

Location: GLASGOW, LANARKSHIRE, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to drive innovation in the financial services industry. As a Senior Applied AI/ML Associate in our Predictive Science team, based in Glasgow, Lanarkshire, United Kingdom, you will join a dynamic group of innovators and technologists dedicated to revolutionizing how we predict market trends, manage risks, and enhance customer experiences. Your role will involve applying cutting-edge AI techniques to real-world financial challenges, such as developing predictive models for credit risk assessment, algorithmic trading strategies, and personalized wealth management solutions. This position offers the opportunity to work on high-impact projects that shape the future of global finance while contributing to a culture of excellence and collaboration at one of the world's leading financial institutions. In this role, you will collaborate closely with data engineers, quantitative analysts, and business leaders to design, build, and deploy scalable ML solutions that deliver measurable value. You will analyze vast datasets from trading platforms, customer interactions, and market feeds to uncover insights that inform strategic decisions. Responsibilities include experimenting with advanced algorithms like neural networks and reinforcement learning, ensuring models are robust against financial volatilities, and integrating AI outputs into JP Morgan Chase's proprietary systems. Your work will adhere to stringent regulatory requirements, including GDPR and Basel III, promoting responsible AI that upholds trust and integrity in our operations. We seek passionate professionals who thrive in a fast-paced environment and are eager to push the boundaries of predictive science in finance. This position not only provides exposure to state-of-the-art technologies but also offers robust career growth through mentorship, global projects, and access to JP Morgan Chase's vast resources. If you are ready to make a tangible impact on the financial landscape, join us in Glasgow to innovate and excel.

Key Responsibilities

  • Develop and implement advanced AI/ML models to enhance predictive analytics in areas like risk management, fraud detection, and customer personalization
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to identify AI opportunities in financial services
  • Design, train, and optimize machine learning algorithms using large-scale financial datasets
  • Conduct data preprocessing, feature engineering, and model validation to ensure accuracy and compliance with regulatory standards
  • Deploy ML models into production environments, monitoring performance and iterating based on real-world financial outcomes
  • Stay abreast of emerging AI technologies and apply them to solve complex challenges in investment banking and asset management
  • Contribute to ethical AI practices, ensuring models are fair, transparent, and aligned with JP Morgan Chase's risk frameworks
  • Document methodologies, results, and insights to support decision-making in high-stakes financial operations
  • Mentor junior team members and participate in knowledge-sharing sessions within the Predictive Science team

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • At least 3-5 years of professional experience in applied AI/ML roles, preferably in financial services
  • Proven track record of developing and deploying machine learning models in production environments
  • Strong proficiency in Python or R for data analysis and model building
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML workflows
  • Excellent problem-solving abilities and attention to detail in handling complex datasets

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or a related field
  • Experience in financial modeling, risk assessment, or fraud detection within banking
  • Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer
  • Background in predictive analytics for trading, customer insights, or regulatory compliance
  • Prior work at a major financial institution or fintech company

Required Skills

  • Machine Learning and Deep Learning expertise
  • Python programming proficiency
  • Data analysis and statistical modeling
  • SQL and database querying
  • Big data technologies like Hadoop or Spark
  • Model deployment and MLOps practices
  • Financial domain knowledge in banking and investments
  • Problem-solving and analytical thinking
  • Communication and collaboration skills
  • Attention to ethical AI and regulatory compliance
  • Version control with Git
  • Cloud computing experience
  • Time management in fast-paced environments
  • Adaptability to innovative technologies
  • Team leadership and mentoring abilities

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
  • Flexible work arrangements including hybrid options in Glasgow
  • Wellness programs, gym memberships, and mental health support services

JP Morgan Chase is an equal opportunity employer.

Locations

  • GLASGOW, GB

Salary

Estimated Salary Rangemedium confidence

65,000 - 95,000 GBP / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning and Deep Learning expertiseintermediate
  • Python programming proficiencyintermediate
  • Data analysis and statistical modelingintermediate
  • SQL and database queryingintermediate
  • Big data technologies like Hadoop or Sparkintermediate
  • Model deployment and MLOps practicesintermediate
  • Financial domain knowledge in banking and investmentsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Communication and collaboration skillsintermediate
  • Attention to ethical AI and regulatory complianceintermediate
  • Version control with Gitintermediate
  • Cloud computing experienceintermediate
  • Time management in fast-paced environmentsintermediate
  • Adaptability to innovative technologiesintermediate
  • Team leadership and mentoring abilitiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (experience)
  • At least 3-5 years of professional experience in applied AI/ML roles, preferably in financial services (experience)
  • Proven track record of developing and deploying machine learning models in production environments (experience)
  • Strong proficiency in Python or R for data analysis and model building (experience)
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML workflows (experience)
  • Excellent problem-solving abilities and attention to detail in handling complex datasets (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or a related field (experience)
  • Experience in financial modeling, risk assessment, or fraud detection within banking (experience)
  • Certifications such as AWS Certified Machine Learning or Google Professional Data Engineer (experience)
  • Background in predictive analytics for trading, customer insights, or regulatory compliance (experience)
  • Prior work at a major financial institution or fintech company (experience)

Responsibilities

  • Develop and implement advanced AI/ML models to enhance predictive analytics in areas like risk management, fraud detection, and customer personalization
  • Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to identify AI opportunities in financial services
  • Design, train, and optimize machine learning algorithms using large-scale financial datasets
  • Conduct data preprocessing, feature engineering, and model validation to ensure accuracy and compliance with regulatory standards
  • Deploy ML models into production environments, monitoring performance and iterating based on real-world financial outcomes
  • Stay abreast of emerging AI technologies and apply them to solve complex challenges in investment banking and asset management
  • Contribute to ethical AI practices, ensuring models are fair, transparent, and aligned with JP Morgan Chase's risk frameworks
  • Document methodologies, results, and insights to support decision-making in high-stakes financial operations
  • Mentor junior team members and participate in knowledge-sharing sessions within the Predictive Science team

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: Flexible work arrangements including hybrid options in Glasgow
  • general: Wellness programs, gym memberships, and mental health support services

Target Your Resume for "Applied AI ML Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Applied AI ML Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Applied AI ML Associate" , 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

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Applied AI ML Associate @ JP Morgan Chase.

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10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.