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Entry Level Machine Learning Jobs in Maryland (NOW HIRING)

84 Lumber Company

Entry Level Manager Trainee

MD · On-site

$46K - $49K/yr

Manager Trainees must complete the learning plan and course of study as outlined within the ... You may also work around machinery and airborne particles. Responsibilities * Payroll, Invoicing ...

Metova Federal

AI Intern

Hanover, MD · On-site

Experience with responsive software development and design principles. * Entry level understanding ... Familiarity with machine learning or data science concepts and experience with data visualization ...

Metova Federal

AI Intern

Hanover, MD · On-site

Experience with responsive software development and design principles. * Entry level understanding ... Familiarity with machine learning or data science concepts and experience with data visualization ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Maryland

Entry Level Machine Learning information

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

As of Jun 14, 2026, the average hourly pay for entry level machine learning in Maryland is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.41 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 $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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 skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Maryland? The most popular types of Machine Learning jobs in Maryland are:
What are popular job titles related to Entry Level Machine Learning jobs in Maryland? For Entry Level Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Maryland look for? The top searched job categories for Entry Level Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Entry Level Machine Learning jobs? Cities in Maryland with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Shop Equipment Operator - 2nd Shift

Shop Equipment Operator - 2nd Shift

Pillar Innovations

Grantsville, MD • On-site

$18 - $25/hr

Full-time, Per diem, Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Pillar Innovations is an Industrial Solutions and Service Company with over 15 years of experience in the Energy, Mining, Industrial Construction, Aggregate, and Renewables Industries. The Corporate Headquarters are located in Grantsville, MD with several offices throughout the country.
Are you looking for a place to expand your skills and grow in a career? Our company promotes continuous learning, diverse work opportunities, and flexibility. We also provide defined career path advancement, full benefits, and a variety of apprenticeship/continuing education programs. We pride ourselves on the versatility of our skillsets and the variety of services that we provide to our customers. We maintain a high level of respect and dignity for our employees, customers, and for the communities that we serve. We have always held a high regard for providing a flexible work-life balance for our employees and we will continue to do so.
We are a diverse and rapidly growing company that is continually on the lookout for emerging markets and opportunities. As an employee, the keys to success are maintaining a positive, can-do attitude and a strong sense of ambition and safety. These key attributes have contributed greatly to the success of our company and to the advancement of our workforce.
Openings for experienced workers and training for entry level positions are always available. Start a career with us today!

Are you someone who enjoys hands-on, skill-driven work and the satisfaction of transforming raw metal into finished, functional pieces? As a Shop Equipment Operator – 2nd Shift, you’ll be part of a fast-paced, team-oriented environment where craftsmanship, precision, and pride in your work are valued every day. In this skilled role, you'll operate a wide range of material processing equipment—including CNC Press Brakes, Manual Press Brakes, Hydraulic Shears, CNC Lasers, Plasma Tables, Band Saws, Python machines, Tiger Stops, Iron Workers, and Plate Rolls—to accurately shape and prepare various metals like steel, aluminum, stainless, and galvanized materials. You’ll use your knowledge of fabrication, rigging, and material handling to cut, bend, and form structural shapes for a variety of industrial and commercial projects. With tiered advancement based on the number and complexity of machines you can operate proficiently, this position offers excellent opportunities to grow. You’ll also gain exposure to all aspects of industrial fabrication, work alongside a supportive and skilled team, and contribute to high-impact work that truly makes a difference. This role requires flexibility, with second shift hours (Monday - Thursday 4PM - 2AM), as well as a strong understanding of our products, services, and safety standards. If you're looking to build your career in a place that values your skills and gives you room to grow, we want to hear from you.


  • Safely and efficiently operate assigned equipment
  • Read, understand, and accurately execute work orders and quality assurance (QA) standards per job requirements
  • Facilitate setups and changeovers within machine capacities
  • Secure work pieces and operate stops and guides for proper alignment
  • Monitor machine functions during operation to ensure accurate output within tolerance requirements
  • Perform quality checks during production to ensure part/piece meets tolerance requirements

Working Conditions

  • Sit, talk, hear, read, and write
  • Walk; use hands to finger, handle, or feel objects, tools, or controls; and reach with hands and arms
  • Step up and climb onto machines
  • Stand for extended periods of time
  • Lift and/or move up to 50 pounds
  • Perform duties indoors in a shop setting with occasional work outdoors in a variety of weather conditions

  • Previous relevant equipment operating experience preferred
  • Must possess strong math skills including adding, subtracting, decimals and fractions
  • Ability to use measuring devices such as tape measures, squares, protractors, compasses, micrometers, calipers, dial indicators, etc.
  • Possess working knowledge of basic blueprints and drawings
  • Ability to operate a variety of shop metal working equipment preferred
  • Knowledge of proper use of equipment, materials and supplies used in an industrial shop setting

WE ARE NOW EMPLOYEE OWNED

Employees are beneficial owners through an ESOP (Employee Stock Option Plan) that works through a qualified retirement plan.

Perks/Benefits 

  • Comprehensive Benefits
    • Medical, Dental, & Vision Insurance with Rx Coverage
    • Life insurance
    • 401(k) retirement plan with Company Match
    • Short/Long term disability
    • Paid time off (as outlined in the applicable Benefit's Summary) and 7 paid holidays
  • Paid lodging, per diem, and transportation provided for out-of-town work
  • Employee focused work environment
    • On-the-job mentoring and training
    • Internal job postings
    • Performance and salary reviews
    • Employee feedback program
  • Safety-first and drug free work environments
    • Bonuses and incentives for working safely
    • Company provided tools and basic safety equipment
    • PPE allowances with no restrictions on vendors
  • Weekly pay with premium pay for Sundays and holidays
  • Overtime available as applicable
  • Advancement through tailored employee career paths
  • Financial tools/programs to help employees reach financial goals, manage money, get out of debt, and save for the future
  • Scholarship opportunities for dependent children
  • Applicant may also receive additional compensation based on the Company and individual's performances

Additional Eligibility Qualifications

This position requires the completion of a thorough background and pre-employment drug and alcohol screening. In accordance with The Company’s Drug and Alcohol policy, employees are required to participate in random, post-accident and reasonable suspicion drug and alcohol testing as requested.

 

AAP/EEO Statement 
This Company is an Equal Employment Opportunity Employer that provides opportunities without regard to any protected classes under applicable law.

ADA Statement

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


USD $18.00/Hr.
USD $25.00/Hr.
USD $2.00/Hr.

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