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Remote Machine Learning Jobs in New Jersey (NOW HIRING)

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

  • Medical

  • Retirement

  • PTO

Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure * Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and ...

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Exposure to machine learning workflows or experience integrating ML models into applications;

Bayer

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote work arrangements will not be accommodated for this role.YOUR TASKS AND RESPONSIBILITIES ... Exposure to machine learning workflows or experience integrating ML models into applications;

SAIC

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

Public Trust Potential for Remote Work: ORA_HYBRID Description SAIC is seeking an experienced ... The Allen Institute for Artificial Intelligence (Ai2) and Multiscale Machine Learning In Coupled ...

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Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in New Jersey

Remote Machine Learning information

See New Jersey salary details

$25.9K

$43.2K

$89.3K

How much do remote machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote machine learning in New Jersey is $43,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs

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

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

What are popular job titles related to Remote Machine Learning jobs in New Jersey?

For Remote Machine Learning jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in New Jersey look for?

The top searched job categories for Remote Machine Learning jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Machine Learning jobs?

Cities in New Jersey with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 15% Internship, 43% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $43,232 per year, or $20.8 per hour.

Client Partner - Retail/ CPG

Tiger Analytics Inc.

Jersey City, NJ • Remote

Full-time

Re-posted 16 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities

  • As a client partner, you will have overall responsibility for delivery, account management, client relationships, and account growth.
  • Responsible for demonstrating business value through solutions that help meet strategic, operational, and tactical objectives, and making executive presentations.
  • Responsible for scaling the pilots / POCs to a long-term, transformative program and delivering continuous business value.
  • Working with the client's business stakeholders to understand key business questions, challenges, and information needs, and help develop an analytics roadmap that identifies and prioritizes key analytics use cases for execution.
  • Collaborating with sales leaders (both new sales and account sales) to create the right POVs and proposals to help win new logos and drive growth in existing clients.
  • Working on some of the latest data science applications to solve complex business problems in Retail & CPG domain.
  • Leading a team of data and analytics professionals and directly work with key client stakeholders to help define the business problem and determine solution requirements.

Requirements

  • 14-20 years experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large programs.
  • Experience managing large accounts and actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with CXO and VP / Director level stakeholders from the client's team and with internal remote teams to define business problems and construct solution approaches.
  • Knowledge of domains like Retail & CPG will be highly preferred.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, leading in communicating client business problem context to the remote teams and effectively leveraging them in execution, while owning client presentation, project management, and expectation setting.
  • Open to travel (up to 50%) across the United States.
  • Education Qualification - Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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