Wait, What Do You Do?

What you’ll work on

You’ll work alongside talented professionals who are passionate about leveraging technology to make a difference.

From the employer’s posting

Join us to transform Market Operations with advanced AI and machine learning. You’ll have the opportunity to solve complex business challenges, automate workflows, and deliver impactful solutions that drive operational excellence. At JPMorganChase, we value your expertise and encourage you to grow your career in a collaborative, forward-thinking environment. You’ll work alongside talented professionals who are passionate about leveraging technology to make a difference. Discover how you can shape the future of financial services with us. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations. You will collaborate with business stakeholders and technology partners to understand operational needs, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. You’ll help foster a culture of innovation and continuous improvement, making a tangible impact on our business. Your work will contribute to optimizing processes and driving efficiency across the team.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Pay, work setup, and employment type unconfirmed

Not confirmed in this saved copy: pay, work setup, employment type. Check the full posting

Tools in this posting

python
aws
tensorflow

Source

- Hands-on experience training, deploying, and maintaining machine learning models in production environments - 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

Find answers in the posting

Already applied? Track this application

About applying

Apply opens the employer’s site in a new tab. Add your outcome here after you submit.

Source details & eligibility

Before you apply

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

LONDON, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jpmc.fa.oraclecloud.com ↗Read the full description ↓

Posting history

Status in our records: Active
First recorded: Sep 8, 2026

We weren’t watching this one from the start, so we can’t say how long it has been open.

Report an error

Education & alternatives

Required Qualifications, Capabilities, and Skills: - Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) - Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development

Job description

Join us to transform Market Operations with advanced AI and machine learning. You’ll have the opportunity to solve complex business challenges, automate workflows, and deliver impactful solutions that drive operational excellence. At JPMorganChase, we value your expertise and encourage you to grow your career in a collaborative, forward-thinking environment. You’ll work alongside talented professionals who are passionate about leveraging technology to make a difference. Discover how you can shape the future of financial services with us.

As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations. You will collaborate with business stakeholders and technology partners to understand operational needs, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. You’ll help foster a culture of innovation and continuous improvement, making a tangible impact on our business. Your work will contribute to optimizing processes and driving efficiency across the team.

Job Responsibilities:

Develop and implement advanced machine learning models and algorithms to address 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 applications and tools for Market Operations
Monitor, evaluate, and improve the performance of deployed models and solutions
Analyze large and complex datasets to identify trends, inefficiencies, and opportunities for automation
Collaborate with subject matter experts to gather requirements, validate solutions, and measure impact
Document methodologies, results, and best practices to support knowledge sharing and scalability
Stay current with AI/ML advancements and apply relevant techniques to business problems

Required Qualifications, Capabilities, and Skills:

Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a 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 environments
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 Markets Operations environments