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Entry Level Machine Learning Jobs in Hyattsville, MD

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

... incorporating machine learning techniques in your projects * Writing programs to cleanse and ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

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Entry Level Machine Learning information

See Hyattsville, MD salary details

$12

$17

$21

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

As of Aug 24, 2026, the average hourly pay for entry level machine learning in Hyattsville, MD is $17.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $19.04 per hour, depending on experience, location, and employer.

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 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 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Hyattsville, MD?

The most popular types of Machine Learning jobs in Hyattsville, MD are:

What job categories do people searching Entry Level Machine Learning jobs in Hyattsville, MD look for?

The top searched job categories for Entry Level Machine Learning jobs in Hyattsville, MD are:

What cities near Hyattsville, MD are hiring for Entry Level Machine Learning jobs?

Cities near Hyattsville, MD with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Hyattsville, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $36,411 per year, or $17.5 per hour.

Consultative Offerings - Government & Public Services - Summer Scholar - AI and Data Engineering

Deloitte

Rosslyn, VA

Temporary

Posted 13 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments. 

Recruiting for this role ends on 9/23/2026. 

Work you'll do 

As a Summer Scholar in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization. 

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Summer Scholars to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs. 

A successful candidate would possess these skills: 

  • Ability to work independently and collaborate as part of a team 
  • Effective written and verbal communication skills 
  • Meticulous attention to detail and quality of work product 
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams 
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment 
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines 
  • Ability to provide clear guidance to others 

The team 

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment. 

Qualifications 

Required: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program 
  • Strong academic track record (3.0 cumulative GPA required) 
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 
  • Ability to obtain and maintain a U.S. Security Clearance 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. 
  • Candidates must be at least 18 years of age at the time of employment. 

Preferred: 

  • 3.4 cumulative GPA preferred 
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics. 

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour. 




Qualifications:

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments. 

Recruiting for this role ends on 9/23/2026. 

Work you'll do 

As a Summer Scholar in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization. 

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Summer Scholars to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-driven intelligence and scalable solutions to meet evolving business and agency needs. 

A successful candidate would possess these skills: 

  • Ability to work independently and collaborate as part of a team 
  • Effective written and verbal communication skills 
  • Meticulous attention to detail and quality of work product 
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams 
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment 
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines 
  • Ability to provide clear guidance to others 

The team 

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment. 

Qualifications 

Required: 

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/equivalent program 
  • Strong academic track record (3.0 cumulative GPA required) 
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. 
  • Ability to obtain and maintain a U.S. Security Clearance 
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. 
  • Candidates must be at least 18 years of age at the time of employment. 

Preferred: 

  • 3.4 cumulative GPA preferred 
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics. 

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current wage is $43/hour. 




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