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Senior Machine Learning Engineer Jobs in Marlton, NJ

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

In this role, the Senior Machine Learning Engineer will bridge Data Science and Engineering to develop AI-based features and ensure the deployment of secure, reliable, and scalable machine learning ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Marlton, NJ salary details

$60.5K

$128.8K

$186.7K

How much do senior machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior machine learning engineer in Marlton, NJ is $128,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $146,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Marlton, NJ?

The most popular types of Machine Learning Engineer jobs in Marlton, NJ are:

What job categories do people searching Senior Machine Learning Engineer jobs in Marlton, NJ look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Marlton, NJ are:

What cities near Marlton, NJ are hiring for Senior Machine Learning Engineer jobs?

Cities near Marlton, NJ with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Marlton, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,785 per year, or $61.9 per hour.

Senior Machine Learning Engineer

Moorestown, NJ • On-site

$103K - $141K/yr

Full-time

Posted 6 days ago


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

244th of 454 rated engineering


Job description

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ.

Responsibilities:

  • Develops, researches, and applies machine learning, deep learning, visual artificial intelligence algorithms and methods to data sets to produce models to be deployed in an operational aspect
  • Develops hypotheses based on data analysis and trends, and compares real-time results with predictions to update and fine-tune algorithms
  •  Develops assessment methods to ensure production models are robust and reliable
  • Collaborates with different business units and stakeholders
  • Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
  • Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
  • Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business
  • Implementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasks
  • Evaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual data
  • Training deep neural networks including MLPs, CNNs, Transformers, and others as required
  • Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models

Basic Qualifications:

  • Bachelor's degree and a minimum of 5-7 years of experience in a related or applicable field, or an equivalent combination of education and experience
  • This position requires the ability to obtain and maintain a government clearance, U.S. Citizenship is required
  • This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s)
  • Requires advanced understanding and ability to apply standards, principles, theories, and technical concepts obtained through advanced education combined with experience
  • Has practical knowledge of project management
  • Works to achieve operational targets with significant impact on departmental results
  • Requires being responsible for managing entire technical projects within job area
  • Requires being responsible for developing technical solutions that may require collaboration with internal expertise and deep analysis of the technical system
  • Requires efficient communication with parties within and outside of own job function
  • Requires being responsible for communicating with parties external to ASRC Federal (e.g., customers, vendors, etc)  
  • Requires the ability to write and implement company policies pertaining to relevant technology
  • Responsible for running small technical teams while providing guidance, coaching and training to employees within job area
  • Lead projects, requiring the delegation of work and the review of others' work product
  • Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or TensorFlow)
  • Experience with LLM prompting and Transformer architecture

 

Preferred Qualifications:

  • Hands-on experience with PyTorch and related Python libraries
  • Experience with unsupervised learning including clustering algorithms and manifold learning
  • Strong writing and presentation skills are preferred

What ASRC Federal employees say

Pay

Benefits

Hours and flexibility

Workplace

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