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Full Stack Machine Learning Engineer Jobs (NOW HIRING)

SynergisticIT

Full stack developer

Columbus, OH

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer ...

SynergisticIT

Full stack developer

Boise, ID

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer ...

1872 Consulting

Machine Learning Engineer

Bellevue, WA · On-site

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud ... Create a boutique "GPU-first" cloud stack optimized and focused on AI/Client workloads * Create ...

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

Leash Bio

Machine Learning Engineer

Salt Lake City, UT

$150K - $200K/yr

Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... Innovate and iterate on our existing technology stack, taking the initiative to solve problems and ...

SynergisticIT

Full-Stack Developer

Philadelphia, PA

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... computer engineering, electrical engineering, information systems, IT project work on the ...

InstantServe LLC

Machine Learning Engineer

Manhattan, NY · Hybrid

$126.20K - $151.60K/yr

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ...

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Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

How much do full stack machine learning engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a Full Stack Machine Learning Engineer job?

A Full Stack Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models into production. They work across the entire ML pipeline, from data collection and preprocessing to model training, evaluation, and deployment using backend and frontend technologies. This role requires expertise in software engineering, data engineering, and machine learning frameworks like TensorFlow or PyTorch. Additionally, they ensure scalability, reliability, and maintainability of ML systems in real-world applications.

What are the key skills and qualifications needed to thrive in the Full Stack Machine Learning Engineer position, and why are they important?

To thrive as a Full Stack Machine Learning Engineer, you need robust programming skills (Python, JavaScript), a deep understanding of machine learning algorithms, and experience with both backend and frontend development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and tools such as Docker and Kubernetes, as well as relevant certifications, are highly beneficial. Strong problem-solving abilities, effective communication, and a collaborative mindset are essential soft skills for working across interdisciplinary teams. These competencies are crucial to designing, deploying, and scaling machine learning solutions in production environments while ensuring seamless integration from data to user interface.

What are some typical challenges Full Stack Machine Learning Engineers face, and how do they overcome them?

Full Stack Machine Learning Engineers often encounter challenges such as integrating complex machine learning models into scalable and maintainable production systems, and ensuring efficiency across both backend and frontend components. They must address issues like managing large and varied datasets, optimizing model inference times, and adapting to fast-evolving technologies. Overcoming these hurdles often requires close collaboration with data scientists, DevOps professionals, and product teams, as well as staying updated with best practices in MLOps and system architecture. Being proactive in learning new tools and fostering effective communication are key strategies for success in this dynamic role.
More about Full Stack Machine Learning Engineer jobs
What cities are hiring for Full Stack Machine Learning Engineer jobs? Cities with the most Full Stack Machine Learning Engineer job openings:
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs? The most popular types of Full Stack Machine Learning Engineer jobs are:
What job categories do people searching Full Stack Machine Learning Engineer jobs look for? The top searched job categories for Full Stack Machine Learning Engineer jobs are:
Full Stack Machine Learning Engineer jobs near you
Infographic showing various Full Stack Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Junior Machine Learning Engineer

Junior Machine Learning Engineer

SynergisticIT

Atlanta, GA

Other

Posted 7 days ago

Job description

Synergisticit Career Opportunities

For more than 14 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this market also our candidates get multiple job offers and $100k+ salaries.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates.

Required skills for data science/machine learning positions: Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of statistics, SAS, Python, computer vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

Required skills for Java/full stack/software positions: Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of core Java, javascript, C++ or software programming Spring boot, microservices, Docker, Jenkins and REST API's experience Excellent written and verbal communication skills.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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