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Machine Learning Operations Jobs in Midland Park, NJ

Nvidia

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Translate findings into clear engineering actions with infrastructure, operations and product teams. * Participating in cross-functional projects to integrate machine learning capabilities into ...

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 ...

Arlo

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

We use it across underwriting, operations, clinical programs, and member experience to build an ... Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale.

Arlo

Machine Learning Engineer

New York, NY · On-site

$180K - $230K/yr

We use it across underwriting, operations, clinical programs, and member experience to build an ... Arlo's underwriting is the core of the business, and it runs on machine learning at serious scale.

Comcast

Machine Learning Engineer 2

New York, NY · On-site

$126K - $189K/yr

Training machine learning models, validating their accuracy, and manage the deployment of these ... Familiarity with CI/CD tools, Git, and understanding of DevOps principles, experience with Jenkins ...

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 ...

DraftKings

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

It's transforming how we enhance customer experiences, streamline operations, and unlock new ... The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts ...

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Machine Learning Operations information

See Midland Park, NJ salary details

$23

$42

$64

How much do machine learning operations jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine learning operations in Midland Park, NJ is $42.28, according to ZipRecruiter salary data. Most workers in this role earn between $35.43 and $44.86 per hour, depending on experience, location, and employer.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

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.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
Machine Learning Operations jobs near you

Applied AI & ML Lead - Markets Operations

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Re-posted 18 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 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

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

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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