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Python Ml Developer Jobs in Mount Laurel, NJ (NOW HIRING)

Accenture

Google Senior Data Engineer

Philadelphia, PA · On-site

$94K - $266K/yr

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment ... Minimum of 3 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

Job Summary We are seeking an experienced Machine Learning Engineer with strong hands-on expertise ... Python code. • Build scalable REST APIs and backend services supporting ML inference. • ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Mount Laurel, NJ

Python Ml Developer information

See Mount Laurel, NJ salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in Mount Laurel, NJ is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.96 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 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 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 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 job categories do people searching Python Ml Developer jobs in Mount Laurel, NJ look for?

The top searched job categories for Python Ml Developer jobs in Mount Laurel, NJ are:

What cities near Mount Laurel, NJ are hiring for Python Ml Developer jobs?

Cities near Mount Laurel, NJ with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,752 per year, or $58.1 per hour.

Data Engineer - Operational Support (Co-op)

Campbell's

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Re-posted 9 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Operational Support Data Engineer (Co-op)

We are seeking a motivated and curious Data Engineer to join our Enterprise Data & Analytics team. This co-op provides hands-on experience building and supporting cloud-based data platforms and pipelines that power enterprise analytics, reporting, and AI/ML solutions.

You will work with tools such as Databricks, Snowflake, Azure, ADLS, ADF, Power BI, and SAP integrations in an Agile environment.

If you are passionate about data, cloud technologies, and solving complex problems, we want to hear from you.


Key Responsibilities

  • Build Data Pipelines: Develop and support scalable data pipelines and ETL/ELT workflows.
  • Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms.
  • Data Transformation: Build transformations using Python, PySpark, and SQL.
  • Data Modeling & STTM: Support STTM, semantic layers, and data modeling for analytics.
  • Support Analytics & AI/ML: Prepare datasets for reporting, AI/ML, and advanced analytics.
  • Monitor & Troubleshoot: Track pipeline health and resolve failures, performance, and data quality issues.
  • Data Operations: Support incident triage, root cause analysis, and operational monitoring.
  • BI Collaboration: Support Power BI datasets, semantic models, and reporting solutions.
  • DevOps & CI/CD: Assist with deployments, testing, and automation.
  • Agile Delivery: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation: Create runbooks, designs, and technical documentation.
  • Automation & AI: Explore automation and AI-driven improvements.
  • Monitoring & Troubleshooting: Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
  • Incident & Problem Resolution: Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.

Learning & Development Opportunities

  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, and ADF.
  • Exposure to ETL/ELT, data modeling, orchestration, and CI/CD.
  • Mentorship from Data, Platform, and AI/ML Engineers.
  • Experience working in Agile/Scrum and DevOps environments.
  • Exposure to enterprise use cases across supply chain, finance, reporting, and AI/ML.

Qualifications

  • Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields.
  • Basic knowledge of SQL and relational databases.
  • Programming in Python and/or PySpark.
  • Understanding of ETL/ELT, data modeling, or STTM concepts.
  • Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus.
  • Exposure to AI/ML, CI/CD, or DevOps is beneficial.
  • Strong problem-solving and analytical skills.
  • Strong communication and teamwork skills.
  • Self-motivated with a willingness to learn.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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