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Entry Level Machine Learning Engineer Jobs in Hanover, PA

... machine learning workflows using cloud-based platforms including Azure (DevOps, ML, ADLS Gen2); building and optimizing Spark ETL applications; building and deploying predictive scoring models ...

Machine Operator Assistant

Carlisle, PA · On-site

$16.25 - $19.50/hr

... learning equipment processes, and maintaining a safe and organized work environment ... This is an entry-level position designed for individuals who are interested in developing skills in ...

Controls Engineer Associate

York, PA · On-site

$64K - $96K/yr

SHIFT2 At Harley-Davidson, we are building more than machines. It's our passion and commitment to ... In this entry-level role, you will assist in the design, programming, implementation, and ...

SHIFT2 At Harley-Davidson, we are building more than machines. It's our passion and commitment to ... In this entry-level role, you will assist in the design, programming, implementation, and ...

Controls Engineer Associate

York, PA · On-site

$64K - $96K/yr

SHIFT2 At Harley-Davidson, we are building more than machines. It's our passion and commitment to ... In this entry-level role, you will assist in the design, programming, implementation, and ...

... learning, and taking action for continuous improvement and growth. Overview Graham Packaging is ... This individual will be also responsible for diagnosing machine and process issues and applying ...

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Entry Level Machine Learning Engineer information

See Hanover, PA salary details

$28.8K

$66.7K

$113.4K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level machine learning engineer in Hanover, PA is $66,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $75,500.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What cities near Hanover, PA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Hanover, PA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Hanover, PA as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $66,675 per year, or $32.1 per hour.

$119K/yr

Full-time

Posted 9 days ago


McCormick & Company rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

68th of 442 rated food and drinks producers


Job description

Title: Data Scientist

 

Location: McCormick & Company, Inc., 24 Schilling Road, Suite 1, Hunt Valley, MD 21031

 

Duties: Create advanced analytical models and solutions to provide real-time insights for decision-makers focusing on ROI and business impact using Python, Tableau and PowerBI. This includes: enhancing data collection procedures; processing and verifying data to ensure integrity; developing and executing end-to-end data validation scripts using Python for large-scale data migrations between database environments including SQL and NoSQL environments; translating data and analytics into business insights using Machine Learning, Python, SQL and Azure ML to optimize manufacturing, supply chain, and product innovation; designing and deploying LLM-powered web interface bots for manufacturing environments, enabling non-technical users to interact with complex operational data and automated workflows through conversational interfaces; driving the development of scalable data pipelines and machine learning workflows using cloud-based platforms including Azure (DevOps, ML, ADLS Gen2); building and optimizing Spark ETL applications; building and deploying predictive scoring models; completing statistical modeling; developing and deploying machine learning models on HR datasets, including sentiment analysis of employee survey responses and predictive modeling to identify retention risk and drive data-driven workforce strategy and automating business processes. Will also research industry best practices and skills to develop new capabilities for data analytics for the Company and drive its digitalization strategy and business process enhancements and automations; collaborate with cross-functional teams, including procurement, R&D and production, to align data-driven strategies with business goals; and serve as a liaison between technical and non-technical stakeholders, ensuring alignment and understanding.

Requirements: Master’s degree in Data Analytics/Science, Computer Science or related field and 24 months of experience in the job offered or related occupation. Experience must include:

2 years’ experience developing and executing end-to-end data validation scripts using Python for large-scale data migrations between database environments including SQL and NoSQL environments.

2 years’ experience with PowerBI and Tableau data visualization software.

2 years’ experience developing predictive models.

2 years’ experience building and optimizing Spark ETL applications.

2 years’ experience designing and deploying scalable data ingestion and processing pipelines on cloud infrastructure using Azure, AWS or Google.

2 years’ experience using MLflow experiment tracking and model lifecycle management tools for logging, versioning, and deploying machine learning models in cloud environments.

1 year experience with SAP ERP system, specifically, APO and SAP S/4HANA supply chain modules.

Salary: $119,371/year + standard benefits; Hours:  Full Time, 40 hours/week     

As a general policy, McCormick does not offer employment visa sponsorships upon hire or in the future. 

McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.


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