2

Entry Level Machine Learning Jobs in Stratham, NH

Full Stack/Java Developer(REMOTE)

Rochester, NH · On-site

$51.50 - $66.50/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Entry Level Technician

Kingston, NH · On-site

$16 - $18/hr

With our in-house technician training program, you will be learning valuable on the job skills ... machinery * Assist in inspecting and testing for defective equipment to diagnose malfunctions

The professional registered nurse Home Therapies RN CAP 2 may be an entry level designation into ... Assesses, collaborates and documents patient/family's basic learning needs to provide initial and ...

Entry Level Machine Learning information

See Stratham, NH salary details

$12

$18

$22

How much do entry level machine learning jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level machine learning in Stratham, NH is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $19.95 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
What cities near Stratham, NH are hiring for Entry Level Machine Learning jobs? Cities near Stratham, NH with the most Entry Level Machine Learning job openings:
Infographic showing various Entry Level Machine Learning job openings in Stratham, NH as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,211 per year, or $18.4 per hour.
Machine Operator

$18/hr

Contractor

Posted 20 days ago


Job description

Position Overview
We are seeking a motivated and reliable individual to join our production team as an Entry-Level Machine Operator, specializing in Folder Operations. No prior experience with folding machinery is required—we are fully committed to training the right candidate who has a strong work ethic and an interest in mechanical production.

We have openings on 1st and 2nd shift!

In this role, you will learn to set up, operate, and maintain equipment that folds paper or materials according to specific project blueprints. This is an excellent opportunity to start a career in manufacturing with a company that values hands-on development.
Key Responsibilities
  • Learning & Setup: Work alongside experienced operators to learn how to set up folding machines based on job specifications.
  • Production Oversight: Monitor the machine during operation to ensure it is running smoothly and producing high-quality finished products.
  • Quality Control: Perform regular checks to ensure folds are precise and meet the standards required for the project.
  • Material Handling: Load raw materials into the machine and neatly stack/package finished goods.
  • Basic Maintenance: Assist with routine cleaning and minor troubleshooting of the equipment to prevent downtime.
  • Safety First: Adhere to all safety protocols and maintain a clean, organized workspace.
Qualifications
  • Willingness to Learn: A positive attitude and a desire to master a new technical skill.
  • Attention to Detail: Ability to spot small inconsistencies or errors in production.
  • Dependability: Strong attendance record and a commitment to arriving on time.
  • Physical Stamina: Ability to stand for long periods and lift up to 30IBS as needed.
  • Team Player: Able to communicate effectively with supervisors and coworkers in a fast-paced environment.
#ZipManchester

Company Description

We are HW Staffing, and our mission is to “Connect Great People with Great Companies.” Collectively, we are revolutionizing how staffing services support the employee and client. HW Staffing jobs encompass meaningful work, a sense of purpose with career development, and a welcoming community. Our jobs inspire and reward independence. Our organizational culture of teamwork and inclusivity supports our spirit and commitment to helping people. Together we can help people find meaningful work - we’re just getting started #wearehwstaffing