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Machine Learning Finance Jobs in New Jersey (NOW HIRING)

The successful candidate will develop production-grade AI systems and scalable data pipelines in a regulated financial institution. Key Responsibilities * Applying advanced machine learning and ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

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Showing results 1-20

Machine Learning Finance information

See New Jersey salary details

$25.4K

$94K

$137.6K

How much do machine learning finance jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning finance in New Jersey is $94,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $110,700.00 per year, depending on experience, location, and employer.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

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

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

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

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

Infographic showing various Machine Learning Finance job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $94,043 per year, or $45.2 per hour.

Machine Learning Engineer

Apex Systems

Jersey City, NJ โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Job#: 3049321
Job Description:
Machine Learning Engineer
Location: Jersey City, New Jersey (Onsite)
Employment Type: Contract
Contract Duration: 12 Months
Role Overview
This position involves applying advanced machine learning and natural language processing techniques to develop predictive analytics, information retrieval, and document intelligence solutions. The role focuses on use cases within wealth management, private banking, client advisory, compliance, or supervision. The successful candidate will develop production-grade AI systems and scalable data pipelines in a regulated financial institution.
Key Responsibilities
  • Applying advanced machine learning and natural language processing techniques to develop predictive analytics and document intelligence solutions.
  • Developing production-grade machine learning and AI systems using Python, SQL, distributed data processing, and software engineering practices.
  • Evaluating machine learning and AI solutions through quantitative validation, performance monitoring, accuracy measurement, and scalability testing.
  • Designing and implementing scalable data pipelines and model workflows for large structured and unstructured financial-services datasets.
  • Preparing model methodology, technical design, performance evaluation, and governance documentation to support model risk management and auditability.
Required Qualifications
Education: An advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial Science, Economics, or a related technical field is required.
Experience: This role requires 1-2 years of experience in quantitative research, financial engineering, data science, or risk analytics within the securities industry. A background in machine learning, hypothesis testing, regression analysis, statistics, text analytics, and predictive analytics with noisy data is necessary.
Technical Skills: Candidates must have experience with data prototyping and coding using tools such as Python or R, Plotly, Shiny, Presto, Tensorflow, Keras, or PyTorch. A strong knowledge of advanced statistical methods, Bayesian learning, pattern recognition, outlier detection, and predictive modeling methods like decision trees and random forests is essential. Knowledge of financial engineering for model development and validation is also required.
Preferred Qualifications
  • Proficient communication skills.
  • Experience writing model documentation.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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