# Lead Machine Learning Engineer-MLOps Vice President Source: https://realanalystjobs.com/job/lead-machine-learning-engineer-mlops-vice-president-jpmorgan-chase-ea7b1935 Lead Machine Learning Engineer-MLOps Vice President at JPMorgan Chase, an on-site role based in Palo Alto, California, USA. Experience level: 6+ Years. Posted on 27 October 2026, read from JPMorgan Chase's own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. JPMorgan Chase has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [JPMorgan Chase](https://realanalystjobs.com/companies/jpmorgan-chase) - Location: Palo Alto, California, USA - Work mode: On-site - Posted: Oct 27, 2026 - Employment type: Full time - Experience level: 6+ Years - Source: JPMorgan Chase's careers page (Oracle HCM), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS, Spark, Airflow ## Visa sponsorship The posting does not say. JPMorgan Chase had H-1B petitions approved for 2,780 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/jpmorgan-chase#h1b-record) ## About this role We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. As Lead Machine Learning Engineer on the Recommendation Engine team, you’ll build and maintain pipelines for distributed model training on large compute clusters, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation and other activities vital for model development, testing and deployment in a well-managed, controlled environment. Our product, Personalization and Insights, builds and supports high throughput, low latency applications which leverage state of the art machine learning architectures, and which are deployed in AWS. These applications power personalized experiences across Chase Consumer & Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces. Job responsibilities • Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows. • Develop and manage pipelines for high-throughput, real-time inference as well as batch inference, ensuring optimal performance and reliability. • Implement quantization techniques and deploy large language models (LLMs) to maximize efficiency and resource utilization. • Oversee the management and optimization of vector databases to support advanced AI and machine learning applications. • Establish and maintain comprehensive monitoring and observability pipelines to ensure system health, performance, and rapid issue resolution. • Collaborate with cross-functional teams to integrate new technologies and continuously improve existing infrastructure. • Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. Required qualifications, capabilities, and skills • BS in Computer Science or related Engineering field with 6+ years of experience Or MS degree in Computer Science or related Engineering field with 4+ years experience. • Solid knowledge and extensive experience in Python • Deep knowledge and passion for data science fundamentals, training and deploying models • Experience in monitoring and observability tools to monitor model input/output and features stats • Operational experience in big data/ML tools such as Ray, DuckDB, Spark • Solid grounding in engineering fundamentals and analytical mindset • Action Oriented and iterative development Preferred qualifications, capabilities, and skills • Experience with recommendation and personalization systems is a plus. • Solid fundamentals and experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc] • Good knowledge of Databases • Solid fundamentals in cloud computing, preferably AWS Description from JPMorgan Chase's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/lead-machine-learning-engineer-mlops-vice-president-jpmorgan-chase-ea7b1935) and use Apply now there to reach the employer's application. The listing is re-checked against JPMorgan Chase's careers page daily and removed when it closes. ## JPMorgan Chase 176 open analyst roles on Real Analyst Jobs. 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