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Entry Level Machine Learning Jobs in Ashland, MA

Product Analyst

Southborough, MA · On-site

$55K - $90K/yr

... machine learning, and agentic AI to execute the 3,500+ transactional functions that currently ... This is an entry-level role with real ownership. You won't be watching from the sidelines -- you'll ...

Turning CNC Utility Operator

Milford, MA · On-site

$22.50 - $30.75/hr

Overview Waters Corporation is currently looking to hire a CNC Machinist to join our organization ... Micrometer and drop dial indicators as well as learning profilometer and CMM operations. * Interact ...

Turning CNC Utility Operator

Milford, MA · On-site

$22.50 - $30.75/hr

Overview Waters Corporation is currently looking to hire a CNC Machinist to join our organization ... Micrometer and drop dial indicators as well as learning profilometer and CMM operations. * Interact ...

Career Growth with hands on learning. Educational Background: * High School Diploma or equivalent ... Professional Experience: * Entry level position with no required experience. * Preferred prior ...

You'll work with precision measurement tools, coordinate measuring machines (CMM), and technical ... No prior quality inspection experience required--this is an entry-level role with comprehensive ...

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Full-Time Manager Trainee

Holbrook, MA · On-site

$47K - $51K/yr

The Manager Trainee is a full-time, entry-level position designed to prepare you for a leadership ... Manager Trainees must complete the learning plan and course of study as outlined within the ...

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Entry Level Machine Learning information

See Ashland, MA salary details

$12

$17

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

As of Jul 15, 2026, the average hourly pay for entry level machine learning in Ashland, MA is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $19.57 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 Ashland, MA are hiring for Entry Level Machine Learning jobs? Cities near Ashland, MA with the most Entry Level Machine Learning job openings:
Infographic showing various Entry Level Machine Learning job openings in Ashland, MA as of July 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $37,388 per year, or $18 per hour.
Sales Support

$80K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago


Job description

Location
Waltham, MA (Hybrid)
Estimated Salary Range
$60k - $80k per year
How to Apply
Applicants are required to submit both a resume and a cover letter in PDF format for consideration. Within the cover letter, please provide responses to the following questions:
  • Question 1: Beyond the job description, what specifically about a career in enterprise technology sales, particularly in the complex field of Enterprise Technology, or infrastructure for HPC/AI/ML, excites you? What do you hope to learn in such a role?
  • Question 2: A key part of this role is identifying high-potential customers. If you were given a list of 100 companies, what are the top 3-4 data points or signals you would look for to determine which ones should be the highest priority prospects for our solutions?
  • Question 3: Describe a time you had to learn a complex technical topic quickly. What was your process, and how did you ensure you understood it well enough to explain it simply to someone else?

Only candidates who provide complete application materials, including responses to the above questions, will be considered.
Job Overview
The Cambridge Sales Support role is an entry level sales & support position assisting teams in building advanced IT solutions for our clients. By developing personal, operational, sales, and technical expertise in Cambridge solutions, this role can scale into opportunities of greater responsibility at our organization. Examples of this include sales operations, inside / outside sales, solution architecture, advanced systems design, installation and training.
Responsibilities and Duties
  • Collaborate with Relationship Sales Managers in daily tasks:
    • Perform product and technology research on hardware, software, and services offerings.
    • Write quotes, build proposals, and manage statements of work in a manner that maximizes company profit.
    • Communicate with vendors and clients.
    • Coordinate online meetings, technical demonstrations, and conferences.
    • Manage sales and order logistics.
    • Recommend products and upsell solutions to vendors and clients.
    • Populate and maintain Cambridge's client relationship management (CRM) tools with accurate and timely information.
  • Participate in Marketing & Customer Service activities:
    • Manage positive vendor relationships.
    • Drive lead generation activities including prospecting, calling clients to attend technical lectures, and following up on marketing driving initiatives.
    • Participate in trade shows and/or act as a company representative.
    • Act as a liaison between the corporate office and remote employees.
  • Support Cambridge initiatives:
    • Gain product and technology knowledge and certifications of the vendors we use in our solution stack. This includes Cisco, Commvault, Dell, HPe, IBM, Lenovo, VMWare, and many others.
    • Build familiarity of trends in storage, networking, data protection, digital archiving, and other infrastructure technologies.
    • Understand solutions including high performance computing, subject matter expertise in machine learning, artificial intelligence, bioinformatics, and life sciences among others.
    • Understand and execute corporate and sales management's goals and objectives.

Qualifications
  • University undergraduate degree required. Science, technology, engineering, and mathematics (STEM) and/or advanced degree preferred.
  • Understanding of basic computer hardware and software required. Greater understanding of technology and the IT ecosystem preferred.
  • Although the expectation is that this role will be on site, there may be times when work will be done outside the office. Accordingly, the employee must be able to work remotely, independently, and unsupervised.
  • Candidates must have impeccable communications skills, an ability to multi-task, and high attention to detail. They must be able to negotiate, be proactive in their approach, effective problem solvers, organized, creative, outgoing, deal with ambiguity, and able to work with different types of personalities.
  • Although not required, many of our successful individuals have some sales experience. Having this skill could assist in scaling to future positions.
  • Cambridge employees are self-paced and embrace driving their own personal development. Given the number of potential opportunities for advancement, employees must be proactive if they seek advancement.

About Us
Cambridge Computer is a leader in delivering innovative physical and cloud-based IT infrastructure, data storage, and data security solutions to clients in a wide variety of industries across North America. Our clients include Fortune 100 companies, nonprofits, academic institutions, and some of the hottest high-technology companies in the country. We use creativity, technical expertise, and extensive industry relationships with investors, entrepreneurs, technology visionaries, and manufacturers to identify and incorporate both new and existing paradigms into cohesive IT strategies for our clients. Also, we're a Woman-Owned Small Business, with a close-knit staff of about 70 people that hail from all over the world.
Benefits
We recognize that satisfaction and well-being are integral components for long-term sustainability and business success. As such, available to full-time employees are the following benefits:
  • Multiple health insurance options
  • Medical FSA and Dependent Care FSA
  • Dental insurance
  • Vision insurance401(k) savings plan with employer matching
  • Employer-sponsored long-term disability
  • Paid holidays and PTO that increases with longevity at the company
  • Discounted health club membership
  • Convenient parking
  • Opportunities for growth!

Equal Opportunity Employer
Cambridge Computer provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status in accordance with applicable federal, state and local laws.