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# Applied AI & ML Scientist - Markets Operations

- **Company:** Jpmorganchase
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Feature Engineering, Pytorch, Generative AI, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** September 10, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/applied-ai-ml-scientist-markets-operations/46516475

## About the Role

problemsRequired 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 developmentExperience working with large, complex datasets and applying statistical analysisHands-on experience training, deploying, and maintaining machine learning models in production environmentsProficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch)Experience with MLOps practices and tools for managing the machine learning lifecycleExperience building and deploying Generative AI applications, including familiarity with LLMOpsExposure to cloud platforms (such as AWS, GCP, Azure)Demonstrated problem-solving skills and ability to work independently or in small teamsAbility to communicate technical concepts clearly to business stakeholders and
non-technical audiencesPreferred Qualifications, Capabilities, and Skills:PhD in Data Science, Computer Science, Artificial Intelligence, or a related fieldExperience in financial services, banking, or Markets Operations environments #J-18808-Ljbffr

## Description

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 challengesDeploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimizationArchitect and oversee generative AI applications to automate and enhance business processesBuild and maintain production-grade AI/ML applications and tools for Market OperationsMonitor, evaluate, and improve the performance of deployed models and solutionsAnalyze large and complex datasets to identify trends, inefficiencies, and opportunities for automationCollaborate with subject matter experts to gather requirements, validate solutions, and measure impactDocument methodologies, results, and best practices to support knowledge sharing and scalabilityStay current with AI/ML advancements and apply relevant techniques to business


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