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Junior Machine Learning Engineer Jobs in Lancaster, PA

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data ...

... of machine learning engineers. • Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data ...

Machinist III

New Holland, PA · On-site

$19.25 - $26.25/hr

... for advanced machine setup, programming support, process optimization, and mentoring junior ... Team Player: committed to improving, learning, and collaborating with others * Problem-solving and ...

Data Scientist

PA · On-site +1

Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required) Experience 2 or more years data mining, machine learning algorithms, large datasets and ...

Chief Data Officer

Street, MD · On-site

$150 - $200/hr

Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental ...

... machine learning applications using either structured or unstructured datasets is required. • Practical experience programming using Python, R or other high level scripting languages is required.

Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic ...

Machine Operator

Robesonia, PA

$15.50 - $18.25/hr

Knowledge of G-Coding programming, desired. * Ability to read complex blueprints and understand GD ... Learn and grow with us through our Learning and Development training programs * We champion ...

Machine Operator

Robesonia, PA · On-site

$15.50 - $18.25/hr

Knowledge of G-Coding programming, desired. * Ability to read complex blueprints and understand GD ... Learn and grow with us through our Learning and Development training programs * We champion ...

Machine Operator

Leola, PA · On-site

$19.50/hr

We engineer and manufacture structural steel racking systems to safely meet nearly any weight ... learning new things once tasks assigned have been mastered. * Ability to read and understand ...

... programming skills in SQL and at least one statistical language (Python, R, etc.) Experience building and implementing machine learning or statistical models Strong analytical, problem-solving, and ...

Senior Structural Engineer

Lititz, PA · On-site

$93K - $126K/yr

... machinery, and rigging * Perform detailed calculations using hand methods, engineering judgement ... Support and guide junior engineers, contributing to knowledge sharing and team development * Engage ...

Senior Structural Engineer

Lititz, PA · On-site

$93K - $126K/yr

... machinery, and rigging * Perform detailed calculations using hand methods, engineering judgement ... Support and guide junior engineers, contributing to knowledge sharing and team development * Engage ...

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Junior Machine Learning Engineer information

See Lancaster, PA salary details

$32.6K

$69.8K

$106.4K

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

As of Aug 13, 2026, the average yearly pay for junior machine learning engineer in Lancaster, PA is $69,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,700.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Lancaster, PA?

The most popular types of Machine Learning Engineer jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Junior Machine Learning Engineer jobs?

Cities near Lancaster, PA with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Lancaster, PA 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, 2% Hybrid, and 11% Remote job distribution, with an average salary of $69,778 per year, or $33.5 per hour.

Manager - Advanced Analytics

Penske

Reading, PA • On-site

Full-time

Re-posted 2 days ago


Job description

Summary Statement:
Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects.
 
Key Responsibilities:
Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes.
Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations.
Manage a team of machine learning engineers.
Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering).
Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area.
 
Responsibilities:
Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps.
Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments.
Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI).
Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity.
Ensure applications and environments are available and supported as per agreed SLAs.
Enforce best practices and compliance with AI Governance principles.
Follow IT practices in security, licensing, source code management, incident management, and architectural standards.
Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members.
Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs.
Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions.
Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management.
Identify skill gaps within teams and develop plans to bridge them.
Foster collaboration among associates and within work groups.
Use dashboards and metrics to prioritize work and ensure project milestones are met.
 
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
3+ years of leadership experience leading machine learning engineers.
3 - 5 years of large enterprise-wide program/project management experience.
2+ years' experience with cloud platforms, preferably AWS.
Strong experience with Agile/MLOps approaches or methodologies.
Strong Technical Project Management experience.
Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models.
Working knowledge of one or more Machine Learning Platforms.
Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions.
Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders.
Experience working with business leadership to establish a project/program application development roadmap.
Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions.
Demonstrated ability to break technical solutions into logical units and show information or data flow.
Full fluency and expert-level knowledge in systems/languages applicable to the role.
Full understanding of system development lifecycle, methodologies, and standards.
Working knowledge of Generative AI and Agentic solutions preferred.
Green Belt, Black Belt, Lean, or PMP certification preferred.

Physical Requirements
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
The associate must regularly lift and /or move up to 25lbs/12kg. 
Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. 
While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms.

Penske is an Equal Opportunity Employer.