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Full Stack Machine Learning Engineer Jobs (NOW HIRING)

Java/Full-Stack Developer - Remote

$53.75 - $69.25/hr

We want data science/machine learning/data analyst and Java full stack candidates. Required skills ... Experience in programming language Java and understanding of the software development life cycle.

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer - Work From Home We are seeking a talented and self-motivated Machine ... full Machine Learning Operations (MLOps) stack from data collection to training, deploying, and ...

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Full Stack/Java Developer(REMOTE)

Hayward, CA · On-site

$60.25 - $77.75/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Experience in programming language Java and understanding of the software development life cycle

... stacks, and constantly challenge each other to grow and improve. If cutting edge data science ... As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ... Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and ...

Java/Full-Stack Developer - Remote

San Diego, CA · On-site

$55.75 - $72/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Experience in programming language Java and understanding of the software development life cycle.

Java/Full-Stack Developer - Junior (Remote)

$53.75 - $69.25/hr

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

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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 25, 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 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.

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 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 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:
Infographic showing various Full Stack Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Java/Full-Stack Developer - Remote

Java/Full-Stack Developer - Remote

SynergisticIT

Remote

$53.75 - $69.25/hr

Other

Posted 4 days ago


Job description

SynergisticIT Job Opportunities

Since 2010 Synergisticit has helped jobseekers get employed in the tech job market 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 job market also, our candidates are able to achieve 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, and 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, gen AI, LLM, 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, Github, Kubernates, 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.