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Machine Learning Contract Jobs in New York (NOW HIRING)

Saransh Inc

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Contract Responsibilities: * Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems. * Collaborate with data scientists ...

production

IT Manager

New York, NY · Hybrid

$103K - $127K/yr

... contract basis. This exciting role is ideal for someone who possesses a master's degree and has a passion for advancing artificial intelligence and machine learning technologies. As a Machine ...

TigerGraph

Account Executive

New York, NY

$150K - $160K/yr

Its proven technology supports fraud detection, customer 360, MDM, IoT, machine learning, and of ... Experience formulating and selling large contracts * Advanced degrees and/or technical expertise ...

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Machine Learning Contract information

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$15

$24

$33

How much do machine learning contract jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for machine learning contract in New York is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $27.88 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the most commonly searched types of Machine Learning jobs in New York?

The most popular types of Machine Learning jobs in New York are:

What are popular job titles related to Machine Learning Contract jobs in New York?

For Machine Learning Contract jobs in New York, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in New York look for?

The top searched job categories for Machine Learning Contract jobs in New York are:

What cities in New York are hiring for Machine Learning Contract jobs?

Cities in New York with the most Machine Learning Contract job openings:

Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $51,932 per year, or $25 per hour.

Applied AI ML Lead - Generative AI and Semantic Modeling

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$171K - $260K/yr

Full-time

Medical, Retirement

Re-posted 23 days ago

Key responsibilities

  • Develop generative AI, agent-based AI, and large language model solutions in Python from proof of concept through production deployment

  • Design context engineering approaches to improve model accuracy, latency, reliability, and overall performance in real-world workflows

  • Build and govern a unified semantic layer that enables trusted analytics across business intelligence, machine learning, and transactional systems

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description


You will help shape how analytics and generative AI are delivered at enterprise scale-turning complex business problems into production-ready, measurable solutions. You will work with a collaborative team that values engineering excellence, responsible innovation, and continuous learning.
As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI, you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will partner with stakeholders to shape problem statements, define success metrics, and deliver production-ready models and intelligent workflows. You will help establish semantic modeling standards and a unified semantic layer that improves trust and consistency across analytics and AI use cases.
Job responsibilities
  • Develop generative AI, agent-based AI, and large language model solutions in Python from proof of concept through production deployment
  • Design context engineering approaches to improve model accuracy, latency, reliability, and overall performance in real-world workflows
  • Lead semantic modeling strategy, including ontology standards, governance, and lifecycle management aligned to enterprise needs
  • Create scalable ontologies that model business entities, relationships, rules, and constraints in partnership with domain experts
  • Define semantic integration patterns across data pipelines, application programming interfaces, data contracts, and experience layers to resolve semantic conflicts
  • Build and govern a unified semantic layer that enables trusted analytics across business intelligence, machine learning, and transactional systems
  • Enable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration methods
  • Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and production operations
  • Implement responsible AI practices, model risk controls, and governance aligned to regulated environments and internal standards
  • Communicate complex technical concepts clearly to technical and non-technical stakeholders, including senior leaders, to align delivery to business objectives

Required qualifications, capabilities and skills
  • Master's degree in a data science-related discipline and 8 years of industry experience, or a PhD in a data science-related discipline
  • Hands-on experience developing and deploying machine learning and generative AI solutions using Python
  • Demonstrated ability to write and maintain production-quality code, including reliability, performance, and maintainability considerations
  • Experience with continuous integration practices and unit test development to support quality delivery
  • Experience building and managing data pipelines and processing workflows that support analytical and machine learning use cases
  • Strong written and verbal communication skills, including the ability to translate technical decisions into business impact
  • Demonstrated scientific thinking and structured problem-solving skills for ambiguous, data-driven challenges
  • Ability to work independently while collaborating effectively across product, engineering, and business stakeholders

Preferred qualifications, capabilities and skills
  • Experience building large language model applications that use context engineering to improve response quality and reliability
  • Background in semantic modeling, ontology design, and governance practices in enterprise environments
  • Experience designing semantic integration patterns across data contracts and application programming interfaces in distributed systems
  • Experience implementing monitoring and evaluation approaches for machine learning and generative AI in production
  • Experience mentoring data scientists and engineers and promoting modern machine learning engineering best practices

#LI-RB3
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
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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