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Junior Machine Learning Engineer Jobs in Miami, FL

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... machine learning, and product initiatives • Ensure data quality, integrity, security, and ... junior data engineers through technical guidance and knowledge sharing • Contribute to ...

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

Exposure to machine learning data pipelines * GCP certifications (e.g., Professional Data Engineer ... Tailor this for Junior / Senior / Lead level * Customize it for a specific industry (banking, healt ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking ... If you loveworking with data, designing machine learning models, andturning complex algorithms into ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... guide junior associates in their tasks - Uphold rigorous standards of quality and technical ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master ...

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

* Develop and maintain machine learning models using Python, leveraging techniques such as regression ... Perform data preparation activities including cleansing, transformation, and feature engineering to ...

Proficiency in Python and machine learning libraries such as NumPy, Pandas, and Scikit-learn ... engineering, model evaluation, REST API development (Flask, FastAPI), database management (SQL ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Build and optimize data models and workflows to support analytics, reporting, machine learning, and ... Mentor and support junior data engineers through technical guidance and knowledge sharing

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

... junior team members and fostering a collaborative work environment What You Must Have - At least a ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... to junior data engineers. - Design and oversee efficient ETL/ELT processes using Snowflake and ... machine learning models in Azure and Snowflake. - Maintain strong knowledge of data security ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Showing results 41-60

Junior Machine Learning Engineer information

See Miami, FL salary details

$32K

$68.7K

$104.7K

How much do junior machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior machine learning engineer in Miami, FL is $68,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $76,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Miami, FL?

The most popular types of Machine Learning Engineer jobs in Miami, FL are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Miami, FL?

For Junior Machine Learning Engineer jobs in Miami, FL, the most frequently searched job titles are:

What cities near Miami, FL are hiring for Junior Machine Learning Engineer jobs?

Cities near Miami, FL with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $68,672 per year, or $33 per hour.

Senior Data Engineer

TelevisaUnivision

Miami, FL • On-site

$101K - $137K/yr

Full-time

Re-posted 19 days ago


Job description

Job Summary:
TelevisaUnivision is the world's leading Spanish-language media company, focusing on expanding their global streaming platform, ViX. The Senior Data Engineer will be responsible for designing, developing, and deploying data platforms while collaborating with various teams to meet their data needs and drive initiatives to completion.
Responsibilities:
• Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow, Python, SQL, and dbt to support business requirements
• Build and optimize data models and workflows to support analytics, reporting, machine learning, and product initiatives
• Ensure data quality, integrity, security, and availability across the data ecosystem
• Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
• Drive data architecture discussions and contribute to long-term platform strategy
• Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies
• Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency
• Monitor, troubleshoot, and resolve data pipeline and platform issues
• Implement best practices for data governance, observability, and operational excellence
• Mentor and support junior data engineers through technical guidance and knowledge sharing
• Contribute to architectural decisions and engineering best practices
• Participate in technical interviews and help grow a high-performing data engineering team
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
• 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
• Advanced proficiency in Python and SQL
• Hands-on experience building and maintaining production-grade data pipelines
• Strong experience with cloud data platforms, preferably Google Cloud Platform (GCP); AWS experience will also be considered
• Experience with workflow orchestration and transformation tools such as Airflow and dbt
• Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
• Solid understanding of distributed data processing frameworks, including Spark
• Experience working with modern data warehousing and storage technologies
• Strong analytical, troubleshooting, and problem-solving abilities
Preferred:
• Experience supporting machine learning and data science workflows
• Familiarity with data observability, data quality frameworks, and CI/CD practices
• Experience working within subscription-based, media, streaming, or digital product organizations
Company:
TelevisaUnivision is a Mexican-American media company which owns the American Spanish language broadcast network Univision. Founded in 2021, the company is headquartered in Miami, USA, with a team of 1001-5000 employees. The company is currently Late Stage.