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Junior Machine Learning Engineer Jobs in Lancaster, PA

Penske

Data Scientist

Reading, PA · On-site

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 ...

Ross Technology Corporation

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 ...

Fenner

Machine Operator / Finisher - 3rd Shift

Neffsville, PA · On-site

$16.50 - $19.75/hr

... engineering and supervision. * Willingly supports the team in all efforts towards continuous ... junior or senior levels) * Levels 1 - 3 Education and/or Relative Experience: (The level of ...

Fenner

Machine Operator / Finisher - 3rd Shift

Lancaster, PA · On-site

$16.50 - $19.75/hr

... engineering and supervision. * Willingly supports the team in all efforts towards continuous ... junior or senior levels) * Levels 1 - 3 Education and/or Relative Experience: (The level of ...

Penske

Senior Business Intelligence Analyst

Reading, PA · On-site

... 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 ...

Tait

Senior Structural Engineer

Lititz, PA

$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 ...

Hersheys

Staff Engineer OT Digital Systems

Hershey, PA · On-site

The OT Data Engineer - Unified Namespace is responsible for designing and implementing scalable ... Familiarity with analytics, machine learning, and AI platforms; Databricks preferred * Experience ...

3B Staffing LLC

Senior CRM Lead

Middletown, PA · Remote

Assign work and manage and mentor a team of CRM and full stack developers. * Ensure successful ... Leveraging AI & Machine Learning to build business applications Required * Integration experience ...

3B Staffing LLC

Senior CRM Lead

Middletown, PA · Remote

Assign work and manage and mentor a team of CRM and full stack developers. * Ensure successful ... Leveraging AI & Machine Learning to build business applications Required * Integration experience ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Lancaster, PA

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 Sep 4, 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 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 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 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 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.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
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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:

Junior Machine Learning Engineer jobs near you
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, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $69,778 per year, or $33.5 per hour.

Data Scientist

Penske

Reading, PA • On-site

Full-time

Re-posted yesterday

Key responsibilities

  • Develop and deliver advanced analytics, reporting, and data science solutions to support fleet planning, vehicle acquisition, replacement planning, lifecycle analysis, procurement strategy, supplier performance, residual value analysis, and operational efficiency.

  • Convert raw data from multiple sources into actionable business intelligence through data evaluation, ETL development, dashboarding, predictive modeling, forecasting, optimization, and process improvement analysis.

  • Partner with stakeholders to define business problems, project scope, data availability, expected outcomes, and practical analytical solutions, and collaborate with internal teams, vendors, suppliers, OEMs, and cross-functional partners to support delivery and adoption of models, reports, and analytics tools.

Penske Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

9th of 366 rated logistics

Job description

Position Summary:
Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition, replacement planning, lifecycle analysis, procurement strategy, supplier performance, residual value analysis, and operational efficiency. The incumbent will be responsible for converting raw data from multiple sources into actionable business intelligence through data evaluation, ETL development, dashboarding, predictive modeling, forecasting, optimization, and process improvement analysis. This role requires strong business judgment, technical analytical skills, and the ability to translate complex data findings into practical recommendations for business stakeholders. The position will support cross-functional initiatives and collaborate with internal customers, vendors, suppliers, OEMs, and business partners.
 
This position is located at our Corporate offices in a beautiful country setting 7 miles South of Reading, PA which is a convenient commute with ample free and easy parking. The role is an in-office position where the Data Scientist is expected to be in the office full-time.
 
Major Responsibilities: 
Perform quantitative and qualitative analysis using traditional and advanced techniques, including trending, correlation, forecasting, optimization, clustering, and what-if analysis, to support Procurement, Fleet Planning, field, and leadership teams.
Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to identify planning opportunities, cost savings, and process improvements.
Identify data sources, extract and combine data from internal and external systems, and cleanse, validate, and organize data for analysis.
Build and maintain ETL processes, analytical datasets, reporting tables, and repeatable workflows to improve data reliability and efficiency.
Design, test, validate, and refine predictive, forecasting, optimization, and machine learning models for fleet lifecycle planning, replacement planning, procurement, residual value analysis, and operational improvement.
Build dashboards, reports, visualizations, and analytical tools to communicate findings, trends, risks, and opportunities to technical and business audiences.
Partner with stakeholders to define business problems, project scope, data availability, expected outcomes, and practical analytical solutions.
Collaborate with internal teams, vendors, suppliers, OEMs, and cross-functional partners to support delivery, adoption, and rollout of models, reports, and analytics tools.
Maintain documentation, data definitions, assumptions, model logic, reporting logic, and analytical processes for reference.
Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and emerging technologies; evaluate tools for business use.
Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines.
Other projects and tasks as assigned.

 
 
 
 
 
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 Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field required.
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field preferred.
3+ years of experience in a related field required 
3-5 years of experience in Experience designing and building 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. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred. 
Experience with ELT Processes, data visualization and reporting tools, including Power BI or similar platforms, required.
Experience working with vehicle, fleet, procurement, transportation, logistics, maintenance, supplier, telematics, financial, or operational data preferred.
Ability to collect, cleanse and analyze complex data and translate data insights into action 
Ability to organize and prioritize work to meet multiple deadlines 
Strong problem-solving skills, learning agility, attention to detail, and passion for logistics, fleet planning, analytics, and continuous improvement.
Effective communication skills in both oral and written form 
Regular, predictable, full attendance is an essential function of the job 
Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required 

Physical Requirements: 
-The physical and mental 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 will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. 
-While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally 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 the ability to adjust focus. 

Penske is an Equal Opportunity Employer.

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About Penske

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When you join Penske, you're joining a team that cares about doing its best. At each location, there's a strong sense of teamwork. We're all working together to move our customers forward. That's true for the 11,000+ vehicle repair associates who are working at hundreds of locations across the United States. Penske Truck Leasing Co., L.P., headquartered in Reading, Pennsylvania, is a partnership of Penske Corporation, Penske Automotive Group and Mitsui & Co., Ltd. A leading global transportation services provider, Penske operates a premier fleet of vehicles and serves its customers from locations in North America, South America, Europe, Australia, and Asia. Penske's product lines include full-service truck leasing, contract maintenance, commercial and consumer truck rentals, used truck sales, transportation and warehousing management and supply chain management solutions. Visit www.GoPenske.com to learn more.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Bloomfield Hills, MI, US

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