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Python Ml Developer Jobs in Raritan, NJ (NOW HIRING)

Sr Software Developer

New York, NY · On-site

$150K - $210K/yr

Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Dig ... Strong background in Python and Java/C/C++. Development, packaging, patching, etc. * Debugging ...

Senior Backend Engineer (ML)

New York, NY · On-site

$200K - $230K/yr

Our ML team builds in-house, proprietary VLMs, LLMs, and other models purpose-built for hard ... Strong backend software engineering fundamentals, with proficiency in Python and TypeScript.

We are seeking a Senior AI/ML Engineer to help design, build, and scale advanced analytics and ... Strong proficiency in Python and SQL * Experience working with both structured and unstructured ...

Sr. AI/ML Engineer

Iselin, NJ · On-site

$106K - $145K/yr

... Python. As a hands-on technical leader, you will be involved in the full software development ... You will design robust, low-latency AI applications, implement best practices in DevOps and MLOps ...

Sr. AI/ML Engineer

New York, NY · On-site

$114K - $157K/yr

... Python. As a hands-on technical leader, you will be involved in the full software development ... You will design robust, low-latency AI applications, implement best practices in DevOps and MLOps ...

We are seeking an AI/ML Software Engineer for a contract position with a Global Financial ... Design, develop, and deploy intelligent software solutions using Python and modern AI/ML techniques

Lead ML Engineer

New York, NY · On-site

$112K - $147K/yr

Job Summary We are seeking a Lead ML Engineer to drive the design, development, and deployment of ... Python. This role will serve as the technical leader for enterprise data science initiatives ...

New

AI Solutions Developer

New York, NY · On-site

$55 - $75.75/hr

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow.

Senior Software Engineer

New York, NY · On-site

$200K - $300K/yr

Fluent in JS/TS (Node) , with some Python/ML exposure a plus * Experience with vector databases ... Early seat : This is shaping the DNA of OuterSignal's engineering org. * Massive upside

Showing results 41-60

Python Ml Developer information

See Raritan, NJ salary details

$13

$60

$88

How much do python ml developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python ml developer in Raritan, NJ is $60.03, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $68.17 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What cities near Raritan, NJ are hiring for Python Ml Developer jobs? Cities near Raritan, NJ with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Raritan, NJ as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $124,863 per year, or $60 per hour.

Sr Software Developer

Morgan Stanley

New York, NY • On-site

$150K - $210K/yr

Full-time

Re-posted 4 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services


Job description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
The Machine Learning Research group is looking for a senior ML developer and DevOps/MLOps engineer. An individual who can sit down with fellow developers, ML researchers, and clients to build out and deploy bespoke but maintainable solutions across heterogeneous technologies.
What you'll do in the role:
  • Work with ML researchers to develop, productionize, and deploy ML based project for clients.
  • Dig into client systems to help retrofit with the team's creations.
  • Maintain and support production systems.
  • Onboard and develop systems to help us manage and reuse ML models across the Firm with a focus on ML Ops.
  • Hack away at compiling and repackaging tricky libraries used by researchers.
  • Find tooling and platform solutions to real-world problems and bring them into the Firm as quickly as possible with adherence to our security policies.
  • Remain up to date on ML tools, libraries, and techniques across the Open Source and vendor landscape.
  • Build and maintain tooling and systems to promote ML development within the firm.
  • Create and maintain code samples to bootstrap ML practitioners so that the work done to help one team will help the next.

What you'll bring to the role:
  • Minimum 10 years of related technology experience.
  • Strong background in Python and Java/C/C++. Development, packaging, patching, etc.
  • Debugging, profiling, and performance engineering.
  • Familiarity with trading systems.
  • Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc.
  • Experience with container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime.
  • At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.)
  • Understanding how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases.
  • Experience designing ETL pipelines.
  • Linux (system level understanding, building software, debugging, etc.)
  • Self-starter capable of taking an idea and seeing it all the way from research to execution.
  • Ability to clearly illustrate complex ideas using documentation and diagrams.

Nice to have:
  • Dask, Ray, Spark, and other distributed compute tech.
  • OSS development.
  • Mathematics, e.g., statistics, linear algebra.
  • Background in data science.
  • Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.)
  • Knowledge of model monitoring tools (mlflow, tensorboard, etc.)
  • Experience with CUDA, ROCm, etc.
  • Exposure to the financial sector (equities, fixed income, etc.)
  • Knowledge of GitHub (general PR workflow, Actions, etc.)

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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