2

Entry Level Machine Learning Engineer Jobs in Miami, FL

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 ...

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 ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Miami, FL salary details

$28.7K

$66.3K

$112.9K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level machine learning engineer in Miami, FL is $66,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $75,100.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

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 Entry Level Machine Learning Engineer jobs in Miami, FL?

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

What job categories do people searching Entry Level Machine Learning Engineer jobs in Miami, FL look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Miami, FL are:

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

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

Infographic showing various Entry Level Machine Learning Engineer job openings in Miami, FL as of September 2026, with employment types broken down into 4% Internship, 83% Full Time, 9% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $66,341 per year, or $31.9 per hour.

Entry level Java spring boot developer/ data scientist

Miami, FL

SynergisticIT
IT Services • 11 - 50 employees

$82K - $127K/yr

Full-time

Posted 2 days ago

New


Job description

 CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process!
  

             You Don’t Need Luck — You Need Strategy


Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it’s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You’ll work on high‑demand technologies, build real‑world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don’t need luck — you need a plan. Synergisticit gives you the strategy that leads to real results.


If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.

SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications.

Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire.

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.

Why fresh grads get stuck—
Fresh grads often struggle for four predictable reasons:

Resume doesn’t match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.”

Who this path fits best
If you’re a recent graduate, you’ll likely fit if you match any of these:

New grads in CS, Engineering, Math, or Statistics with limited job experience
Students finishing Bachelor’s or Master’s programs who need a real hiring plan
Candidates who apply consistently but don’t get callbacks
Candidates who reach interviews but struggle to close
International students on F-1/OPT who need a job plan for STEM extension/H-1B timing
Graduates with strong academics but thin practical experience
SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
    please read our blogs 

·         Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/

·         Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/

Please check below links:

Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl
USA Today feature
Discover JOPP: https://www.synergisticit.com/jopp/
Contact: https://www.synergisticit.com/contact-us/


Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go.
 
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.


Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume


SynergisticIT logo

About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: “Understanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010