Associate Applied AI & ML Scientist – Markets Operations

Testing Site - JPMC; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

JPMorgan Chase in London seeks an Applied AI & ML Scientist to design, develop, and deploy AI/ML solutions that enhance Market Operations. You will collaborate with business stakeholders and tech partners to translate pain points into scalable AI-driven tools that improve efficiency and accuracy.

The role emphasizes hands-on model development, production deployment, and ongoing optimization while staying current with the latest AI/ML advancements.

Qualifications

• Degree in data science, computer science or related field, or equivalent experience.
• Strong foundation in AI/ML concepts and practical data analysis skills.
• Experience with large datasets and statistical analysis.
• Hands-on experience training, deploying, and maintaining models in production.
• Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn.

Responsibilities

• Develop and deploy advanced ML models for operational challenges.
• Build AI/ML tools for automation, anomaly detection, and workflow optimization.
• Architect generative AI applications to automate business processes.
• Monitor model performance and optimize production systems.
• Collaborate with stakeholders to translate requirements into solutions.
• Document methodologies, results, and best practices for knowledge sharing.
• Stay current with AI/ML advancements and apply them to problems.

Skills

AI/ML concepts

Python

ML libraries

MLOps

Generative AI

LLMOps

Cloud platforms

Data analysis

Statistical analysis

Production deployment

Communication

Education

BSc/MSc in Data Science, CS, AI

PhD in Data Science, CS, AI

Tools

TensorFlow

PyTorch

scikit-learn

MLOps tools

LLMOps tools

AWS

GCP

Azure

Job description

Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You’ll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued.

As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement.

Job Responsibilities:

• Develop and implement advanced machine learning models and algorithms to solve operational challenges
• Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization
• Architect and oversee generative AI applications to automate and enhance business processes
• Build and maintain production‑grade AI/ML tools tailored to Market Operations
• Monitor and improve the performance of deployed models and solutions
• Analyze large datasets to identify trends, inefficiencies, and opportunities for automation
• Collaborate with subject matter experts to gather requirements and validate solutions
• Document methodologies, results, and best practices for knowledge sharing
• Stay current with AI/ML advancements and apply relevant techniques to business problems

Required Qualifications, Capabilities, and Skills:

• BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience)
• Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
• Experience working with large, complex datasets and applying statistical analysis
• Hands‑on experience training, deploying, and maintaining machine learning models in production
• Proficiency in Python and relevant AI/ML libraries (such as scikit‑learn, TensorFlow, PyTorch)
• Experience with MLOps practices and tools for managing the machine learning lifecycle
• Experience building and deploying Generative AI applications, including familiarity with LLMOps
• Exposure to cloud platforms (such as AWS, GCP, Azure)
• Demonstrated problem‑solving skills and ability to work independently or in small teams
• Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences

Preferred Qualifications, Capabilities, and Skills:

• PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
• Experience in financial services, banking, or Market Operations environments
  

Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world’s leading financial institutions.

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