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Entry Level Machine Learning Jobs in Greenwich, CT

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering ...

This training-based, early-career role is ideal for entry level candidates eager to grow into hands ... machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide ...

Machinist Technician

New York, NY · On-site

$75K - $80K/yr

This entry-level position is responsible for assisting in the day-to-day operation of the ... machine shop, as well as working on various instructional student projects and experiments.

Underwriter

Manhattan, NY · On-site

$65K - $85K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... for entry-level applicants. * Strong analytical skills with the ability to interpret complex ...

Underwriter

Manhattan, NY · On-site

$65K - $85K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... for entry-level applicants. * Strong analytical skills with the ability to interpret complex ...

Underwriter

Manhattan, NY · On-site

$65K - $85K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... for entry-level applicants. * Strong analytical skills with the ability to interpret complex ...

Associate - AI Engineer

Manhattan, NY · On-site

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are ... RAG, MCP, agentic flow) and libraries such as LangChain/LangGraph Familiarity with machine learning ...

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Entry Level Machine Learning information

See Greenwich, CT salary details

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$19

$24

How much do entry level machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level machine learning in Greenwich, CT is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $21.35 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Greenwich, CT?

The most popular types of Machine Learning jobs in Greenwich, CT are:

What cities near Greenwich, CT are hiring for Entry Level Machine Learning jobs?

Cities near Greenwich, CT with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Greenwich, CT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,796 per year, or $19.6 per hour.

Junior Data Scientist/Business Intelligence Analyst

SynergisticIT

Stamford, CT • On-site

Other

Posted 10 days ago


Job description

Career Gap to Tech Career — Rebuild Momentum With Java or Data Skills If you have been unemployed for several months, returning to the job market can feel frustrating. You may have talent, education, or past experience, but hiring teams often look for recent proof that your skills are current. A career gap does not define your ability, but it does mean you need a strategy to rebuild confidence and show employers that you are ready. SynergisticIT is considering candidates interested in Java development, Python development, full-stack engineering, data analytics, data science, data engineering, DevOps, and ML/AI programming. This opportunity is especially relevant for candidates with career gaps, layoffs, limited experience, or outdated technical stacks. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · 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/ SynergisticIT JOPP is good for candidates with gaps because it helps rebuild momentum through structured upskilling, practical project work, resume improvement, interview preparation, and job-search support. Instead of applying randomly, candidates can work toward a more current and employer-ready profile. Do not let a career gap stop your progress— Contact us and restart with a plan. 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.