Machine Learning Manager Jobs in New Jersey
Machine Learning Manager jobs in New Jersey are in strong demand, with concentrated hiring across pharmaceuticals, financial services, and telecommunications and openings at every level from early-career team leads through senior director roles. The most active hiring metros are Jersey City, Princeton, and Parsippany, where established employers like Johnson & Johnson, Prudential Financial, and Cognizant maintain large technical operations. The most sought-after specialties include NLP, MLOps infrastructure, and applied AI for regulated industries such as drug discovery and risk modeling. Find a role that fits below and apply directly.
Find Machine Learning Manager JobsOverview
Showing 5 of 27+ Machine Learning Manager jobs
Role - Machine Learning Expert
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
Degree in Computer Science, Engineering, Statistics, or a related technical field.
Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
Strong foundational understanding of algorithmic complexity and data structure optimization.
Excellent problem-solving, collaboration, and communication abilities.
Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
We provide support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
See All 27 Machine Learning Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Machine Learning Manager Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Investment & Asset Management
- Banking & Financial Services
- Insurance
- Chemicals & Materials
What New Jersey Employers Look For
The qualifications that appear most often in machine learning manager jobs across New Jersey.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Demonstrated experience leading machine learning or data science teams end-to-end
- Hands-on proficiency with Python, cloud ML platforms such as AWS SageMaker or Azure ML
- Experience deploying production ML models in regulated industries like pharma or financial services
- Strong cross-functional communication skills to translate model outputs for business stakeholders
- Familiarity with MLOps practices including CI/CD pipelines, model monitoring, and version control
Machine Learning Manager Jobs in New Jersey: Frequently Asked Questions
How do you become a machine learning manager in New Jersey?
Machine learning manager roles in New Jersey do not require a state-issued license, so the path runs through education and experience. Most hiring managers in New Jersey expect a bachelor's or master's degree in computer science, statistics, or engineering, followed by several years of hands-on ML engineering or data science work. New Jersey's pharmaceutical and financial services sectors place particular weight on experience with regulated data environments and cross-functional team leadership before considering candidates for management.
Which companies hire machine learning managers in New Jersey?
Employers hiring machine learning managers in New Jersey right now include JPMorganChase, ASRC Federal, and Union County College, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of pharmaceutical headquarters, insurance carriers, and telecom firms means openings frequently appear across a range of regulated and data-intensive industries.
Which New Jersey cities have the most machine learning manager jobs?
The cities with the most machine learning manager openings in New Jersey are Jersey City, New Jersey, and Iselin. Jersey City's proximity to New York financial institutions drives heavy demand, Princeton anchors a dense corridor of pharmaceutical and biotech R&D campuses, and Parsippany hosts regional headquarters for several large technology services and insurance companies that maintain substantial applied AI teams.
Are there remote machine learning manager jobs in New Jersey?
Yes, and more than most fields. About 40% of machine learning manager openings tied to New Jersey are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of the work. The portions of the role most likely to stay fully remote are model strategy, roadmap planning, and cross-team coordination, while on-site expectations tend to apply when managing embedded product teams or working within regulated lab environments.
How can I get hired as a machine learning manager in New Jersey with little or no experience?
The most realistic entry path is moving into a team-lead position from a senior ML engineer or data scientist role at one of New Jersey's large pharmaceutical or financial services employers. Companies like Merck, Prudential, and Cognizant's New Jersey offices regularly hire associate data scientists and ML engineers into rotational or project-based roles that build the cross-functional exposure needed for management. Building a portfolio of deployed models, contributing to open-source ML tooling, and earning a cloud ML certification strengthens a candidacy before the formal step into management.
Where can I find and apply to machine learning manager jobs in New Jersey?
You can find and apply to machine learning manager jobs in New Jersey on Migrate Mate, which lists current New Jersey openings. Find roles that fit your experience and apply directly.
See All 27 Machine Learning Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Machine Learning Manager Jobs