Senior ML Engineer Jobs in New Jersey
Senior ML Engineer jobs in New Jersey are among the most active in the Northeast, with strong demand concentrated in pharmaceuticals, financial services, and telecommunications, and openings ranging from senior individual contributors to staff and principal-level roles. The heaviest hiring clusters around Newark, Jersey City, and Princeton, where established employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain large technical operations. The most in-demand specialties include large language model development, MLOps and model deployment pipelines, and applied NLP for regulated industries. Find a role that fits below and apply directly.
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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 30 Senior ML Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Senior ML Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase11

- ASRC Federal2

- Union County College2

- BNY1

- Crowe1

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 senior ML engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of experience building and deploying production machine learning models
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Hands-on experience with MLOps tooling including model versioning, monitoring, and CI/CD pipelines
- Experience working with large-scale data infrastructure such as Spark, Databricks, or cloud ML platforms
- Strong communication skills for collaborating with cross-functional teams and presenting model findings to stakeholders
Senior ML Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a senior ml engineer in New Jersey?
Senior ml engineer roles in New Jersey require a bachelor's degree at minimum, though most employers in pharma and financial services prefer a master's or PhD in computer science, statistics, or a related field. There is no state-issued license for this role, but candidates advance by building a portfolio of deployed production models, earning cloud certifications from AWS, Google, or Azure, and accumulating hands-on experience in regulated industries like life sciences or insurance, which are dominant in New Jersey.
How much do senior ML engineers make in New Jersey?
Senior ML engineers in New Jersey earn a median of about $108,310 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $48,380 for the lowest 10% to over $207,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in New Jersey?
Employers hiring senior ml engineers 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, major financial services firms, and large telecommunications carriers makes it a particularly consistent source of senior-level ML openings year-round.
Which New Jersey cities have the most senior ml engineer jobs?
Jersey City, New Jersey, and Iselin have the most senior ml engineer openings in New Jersey. Newark and Jersey City attract demand from financial services and consulting firms with Manhattan-adjacent operations, while Princeton draws heavily from pharmaceutical and biotech R&D centers that have long anchored that corridor.
Are there remote senior ml engineer jobs in New Jersey?
Yes, and more than most fields. About 40% of senior ml engineer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how well this work travels outside a physical office. Model development, experimentation, and pipeline work are the most remote-friendly components, while on-site presence is sometimes required for regulated industries like pharma that have stricter data governance needs.
How can I get hired as a senior ml engineer in New Jersey with little or no experience?
The most realistic entry path is through a machine learning engineer or data scientist associate role at one of New Jersey's large pharma or financial services employers, which regularly hire new graduates for rotational or apprenticeship-style programs. Companies like Johnson & Johnson and Prudential Financial run structured early-career technical programs. Building an applied portfolio on public datasets, contributing to open-source ML projects, and earning a cloud ML certification from AWS or Google significantly strengthens candidacy for those entry-level positions.
Where can I find and apply to senior ml engineer jobs in New Jersey?
You can find and apply to senior ml engineer jobs in New Jersey on Migrate Mate, which lists current openings in the state. Search the available roles, find the ones that match your background and preferred location or work arrangement, and apply directly to the ones that fit.
See All 30 Senior ML Engineer Jobs in New Jersey
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