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Entry Level Machine Learning information

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

As of Jul 11, 2026, the average hourly pay for entry level machine learning in Utah is $15.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $17.31 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.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Utah? The most popular types of Machine Learning jobs in Utah are:
What are popular job titles related to Entry Level Machine Learning jobs in Utah? For Entry Level Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Utah look for? The top searched job categories for Entry Level Machine Learning jobs in Utah are:
What cities in Utah are hiring for Entry Level Machine Learning jobs? Cities in Utah with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Utah as of July 2026, with employment types broken down into 1% Locum Tenens, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $33,071 per year, or $15.9 per hour.
Structural Engineer - Entry Level (Hybrid)

Structural Engineer - Entry Level (Hybrid)

Barr

Salt Lake City, UT • Hybrid

$65K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

The role - what you'll do

Barr is seeking astructural engineerto join ourstructuralteam. In thishybridrole, you will support ourstructural engineeringgroup by providing design and technical expertise for heavy industrial sites such as natural gas facilities, hydroelectric plants,dams, power plants, and mining facilities. You'll work on multidisciplinary project teams to perform structural analysis and structural inspection, develop plans and specifications, create structural models, write reports, and support construction assistanceand activities. This position may include short-term travel for field assignments.

The ideal candidate is detail-oriented, technically skilled, and thrives in a collaborative environment. You bring strong communication and problem-solving abilities, a flexible working style, and a commitment to delivering high-quality engineering solutions that align with Barr's values.

Your impact - key responsibilities

  • Technical knowledge: assist with engineering calculations and modeling for a variety of industrial, hydro, and energy-related structures.

  • Project support: prepare engineering drawings, technical specifications, and design documentation. Contribute to project reports and help develop cost estimates for engineering solutions.

  • Fieldwork: participate in site visits and inspections to observe construction activities and help ensure compliance with design intent.

  • Software: use word processing, spreadsheet, and structural engineering software (AutoCAD, Revit, Advanced Steel, MathCAD, StaadPro, Risa3D) to support project tasks and team collaboration.

  • Team collaboration: work closely with a multidisciplinary team of engineers and project managers while developing your skillset in a professional consulting environment.

About the opportunity

  • Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Salt Lake City, Utah office.

  • Travel expectation: willingness to travel and periodically adjust personal schedule to meet project needs (up to 30% travel and fieldwork possible; project needs will vary).

  • Work environment: ability to work in locations that may feature rough terrain typical of construction, heavy industrial, mining,power, manufacturing, and/or rural outdoor sites with limited accessibility, moving machinery, and other conditions typical of industrial facilities. Candidates must be able to perform job duties with or without reasonable accommodation.

Physical requirements for the role may include:

  • Ability to conduct fieldwork in varying outdoor conditions (e.g., heat, cold, rain, uneven terrain).

  • Must be able to lift and carry equipment and materials weighing up to 50 pounds.

  • Capable of standing, walking, kneeling, or crouching for extended periods.

  • Use of personal protective equipment (PPE) as required by site conditions.

About you - required core competencies

  • 0-5years of relevant experience in structural engineering, which may include internships or co-op positions.

  • Education: bachelor's degree in civil engineering with a structural emphasis (including structural analysis and steel and concrete design).

  • Licenses/certifications: Engineer-in-Training (EIT) certified or ability to obtain within one year.

  • Software: familiarity with AutoCAD, Excel, and Word. Preferred, but not required: experience with Revit, STAAD Pro, Advanced Steel, RISA 3D, or MathCAD.

  • Driver's license: possession of a current, valid driver's license and acceptable driving record

  • Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Compensation: Anticipated range of $65,000-$80,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salary) under the Fair Labor Standards Act.

#LI-Hybrid #Handshake

Benefits - what we offer

We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.

  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care

  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock

  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders

  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave

  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About us - why choose Barr

At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.

As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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