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Python Ml Developer Jobs in New Brunswick, NJ (NOW HIRING)

Tennr

Senior ML Infrastructure Engineer

New York, NY · On-site

$200K - $230K/yr

Strong software engineering fundamentals, with proficiency in Python and TypeScript * Experience in software design and architecture for highly available ML systems for use cases like inference ...

OuterSignal Inc

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

NYULMC

Senior ML Engineer

New York, NY · On-site

$114K - $157K/yr

... in Python, or other languages commonly used in AI development. - Substantial knowledge of AI, machine learning, and deep learning - Experience with AI platforms like PyTorch or TensorFlow ...

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How much do python ml developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python ml developer in New Brunswick, NJ is $60.49, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $68.70 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in New Brunswick, NJ? For Python Ml Developer jobs in New Brunswick, NJ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in New Brunswick, NJ look for? The top searched job categories for Python Ml Developer jobs in New Brunswick, NJ are:
What cities near New Brunswick, NJ are hiring for Python Ml Developer jobs? Cities near New Brunswick, NJ with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in New Brunswick, NJ as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $125,829 per year, or $60.5 per hour.
Machine Leaming Engineer - Applied ML for Trading Signals

Machine Leaming Engineer - Applied ML for Trading Signals

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 7 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Machine Leaming Engineer - Applied ML for Trading Signals
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29603 in the subject
Overview
We are seeking an applied ML engineer to develop, optimize, and deploy machine learning models for alpha generation within a newly formed systematic equities pod deploying intraday mean reversion and microstructure strategies.
The focus is on tree-based ensemble methods (LightGBM, XGBoost, CatBoost) and classical ML pipelines applied to high-frequency financial data. You will work closely with the Portfolio Manager and quantitative researchers to tum ML models into live trading signals.
Principal Responsibilities
• Develop and optimize tree-based ensemble models (LightGBM, XGBoost, CatBoost) for intraday alpha prediction
• Design and implement end-to-end ML pipelines: feature engineering, training, validation, deployment, and monitoring
• Build robust cross-validation frameworks adapted to financial time-series (purged k-fold, walk-forward)
• Engineer features from market microstructure data: order flow imbalance, spread dynamics, volume patterns, cross-asset signals
• Implement model explainability tools (SHAP, feature importance) to understand and validate signal sources
• Optimize model inference for low-latency production deployment
• Monitor model performance in production: detect drift, staleness, and regime changes
• Collaborate with the C++ developer to integrate ML predictions into the real-time trading engine
• Experiment with TabPFN and other rapid-prototyping tools for fast signal discovery
Required Skills / Qualifications
• Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field
• 3+ years of experience building and deploying ML models in a production environment, preferably In finance
• Deep expertise in tree-based ensemble methods: LightGBM, XGBoost, CatBoost
including hyperparameter tuning, regularization, and feature selection
• Strong programming skills in Python with proficiency in scikit-learn, Polars/Pandas, NumPy
• Strong understanding of overfitting, data leakage, and proper evaluation methodology for financial time-series
• Strong analytical thinking, attention to detail, and intellectual curiosity
• Excellent communication skills and ability to explain model behavior to non-ML stakeholders
• Familiarity with Al-assisted development tools (Cursor, Claude Code)
Preferred Skills / Experience
• Experience with financial market data (tick data, order book, corporate actions)
• Knowledge of market microstructure and intraday trading dynamics
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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