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Junior Machine Learning Engineer Jobs in Missouri

Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... Junior or entry-level position each additional Technical skill helps a candidate's resume to be ...

LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and Generative AI systems. This role focuses on developing advanced ML and ...

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

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Junior Machine Learning Engineer information

See Missouri salary details

$31.4K

$67.3K

$102.7K

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

As of Jun 17, 2026, the average yearly pay for junior machine learning engineer in Missouri is $67,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 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 engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

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 Missouri? The most popular types of Machine Learning Engineer jobs in Missouri are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Missouri? For Junior Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Junior Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Junior Machine Learning Engineer jobs? Cities in Missouri with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Missouri as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,348 per year, or $32.4 per hour.
Machine Learning Engineer

Other

Posted 20 days ago


Job description

Machine Learning Engineer Opportunity

SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche.

As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career.

SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc. Presently, we are actively looking for a Machine Learning Engineer with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java.

Who Should Apply: Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry We also assist in filing for STEM extension and H1b and Green card filing. Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill Enhancement Programs if the candidates are missing skills or experience which our clients need with great outcomes Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement Candidates who Lack Experience Have had a break in careers Lack Technical Competency candidates who want to get employed and make a career in the Tech Industry

REQUIRED SKILLS

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in the programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, and data visualization tools
  • Excellent written and verbal communication skills
  • Preferred skills: NLP, Text mining, Tableau, Time series analysis

Technical skills are required by clients for selection even if it's a Junior or entry-level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers.

Clients hire candidates with the right technical skills they need and reject candidates who lack the required technical skills. No third-party candidates or c2c candidates

Please apply to the posting