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Machine Learning Operations Jobs in New York (NOW HIRING)

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Advocate for and implement best practices around model deployment, versioning, and operational ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

... operations - empowering engineers to push the boundaries of possibility. Our customers include ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

It is best suited for someone who is excited by the systems, tooling, and operational side of machine learning. What You'll Do * Build and maintain the workflows and infrastructure that support the ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

Partner closely with Product, Engineering, Data, and Operations to translate product requirements ... machine learning systems in production * Strong proficiency in Python and experience with common ML ...

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Machine Learning Operations information

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
What cities in New York are hiring for Machine Learning Operations jobs? Cities in New York with the most Machine Learning Operations job openings:
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Applied AI & ML Lead - Markets Operations

Applied AI & ML Lead - Markets Operations

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$164K - $260K/yr

Full-time

Medical, Retirement

Posted 17 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

55th of 145 rated banks

Job description


Bring your expertise in applied artificial intelligence and machine learning to a team improving how Markets Operations runs at scale. You will partner across operations, product, engineering, and data to deliver production-grade solutions with measurable impact. In a collaborative environment, you will shape strategy, mentor talent, and build durable capabilities designed for reliability, control, and real-world adoption.
As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank, you will drive the strategy, design, and delivery of solutions that improve operational efficiency, resilience, and control outcomes. You will lead a team of scientists and engineers and collaborate with senior stakeholders to prioritize high-impact opportunities and deliver solutions that scale. You will set technical direction, strengthen engineering and governance practices, and translate complex concepts into clear, outcome-focused results.
Job Responsibilities:
  • Lead the end-to-end delivery of machine learning and generative AI solutions that measurably improve Markets Operations outcomes
  • Set technical direction and execution strategy across model development, deployment, and adoption aligned to business priorities
  • Oversee the architecture and production deployment of AI applications, including agent-based and workflow-automation solutions
  • Manage, coach, and develop a team of scientists and engineers, fostering a collaborative and inclusive culture of continuous learning
  • Establish and enforce best practices for model monitoring, evaluation, and performance optimization in production environments
  • Partner with business, operations, and technology leaders to shape problem statements, success metrics, and delivery roadmaps
  • Guide analysis of large, complex datasets to identify drivers, risks, and automation opportunities
  • Ensure solutions are engineered for reliability, scalability, and maintainability, with strong operational readiness
  • Communicate technical approaches, decisions, and results through clear documentation and cross-functional forums

Required Qualifications, Capabilities, and Skills:
  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • Bachelor's or Master's degree in computer science, data science, artificial intelligence, or a related field (or equivalent experience)
  • Demonstrated leadership delivering AI/ML initiatives from concept through production, including team and stakeholder management
  • Strong applied experience in machine learning, including feature engineering, model development, and statistical analysis on large datasets
  • Hands-on proficiency in Python and common machine learning libraries (for example, scikit-learn, TensorFlow, or PyTorch)
  • Proven experience deploying, operating, and maintaining production machine learning systems, including incident and performance ownership
  • Working knowledge of machine learning operations practices (machine learning lifecycle management, automation, and reproducibility)
  • Experience building and deploying generative AI applications and evaluating large language model outputs for quality and risk
  • Strong communication skills, including the ability to translate technical concepts for senior stakeholders and non-technical partners

Preferred Qualifications, Capabilities, and Skills:
  • Doctorate in a quantitative field or equivalent advanced applied research experience
  • Experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments
  • Experience working in highly regulated environments with strong model risk, governance, or control expectations
  • Experience designing scalable system architectures for AI products and platforms across multiple stakeholder groups

#CIBAppliedAI
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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