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Junior Machine Learning Engineer Jobs in Danbury, CT

Bespoke Labs

Machine Learning Engineer

Norwalk, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Hamden, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Waterbury, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Stamford, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Danbury, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bridgeport, CT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Danbury, CT

Junior Machine Learning Engineer information

See Danbury, CT salary details

$34.3K

$73.5K

$112K

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

As of Aug 17, 2026, the average yearly pay for junior machine learning engineer in Danbury, CT is $73,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $81,800.00 per year, depending on experience, location, and employer.

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 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 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 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.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 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.
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What are the most commonly searched types of Machine Learning Engineer jobs in Danbury, CT?

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

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For Junior Machine Learning Engineer jobs in Danbury, CT, the most frequently searched job titles are:

What cities near Danbury, CT are hiring for Junior Machine Learning Engineer jobs?

Cities near Danbury, CT with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Danbury, CT as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 31% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $73,456 per year, or $35.3 per hour.

Machine Learning Engineer

Kforce Technology Staffing

Armonk, NY • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Armonk, NY that is seeking a Lead Machine Learning Engineer to support a leading Energy and Utilities organization by designing and delivering scalable machine learning solutions that drive operational efficiency and business decision-making. This role will own the end-to-end machine learning architecture, lead the design of predictive models and recommendation engines, and guide models from prototype through production deployment.
Responsibilities:
* Design and own the overall machine learning system architecture and model lifecycle
* Develop scalable predictive models and recommendation engines to support operational and resource planning initiatives
* Lead technical design decisions and mentor small delivery teams throughout the development lifecycle
* Translate business requirements into machine learning solutions and production-ready models
* Partner with data engineers, data scientists, and business stakeholders to deliver high-impact analytics solutions
* Deploy, monitor, and optimize machine learning models using Azure Machine Learning
* Establish best practices for model governance, performance monitoring, and continuous improvement
* Maintain CI/CD workflows, version control, and containerized deployments using GitHub and Docker
REQUIREMENTS:
* 8+ years of experience in Machine Learning Engineering, Data Engineering, or AI solution development
* Proven experience designing enterprise-scale machine learning architectures and deploying production ML solutions
* Strong Python development experience including pandas, scikit-learn, XGBoost/LightGBM, and PyTorch (preferred)
* Advanced SQL skills with experience working in Snowflake
* Hands-on experience with Azure Machine Learning, GitHub, and Docker
* Strong understanding of MLOps, model deployment, monitoring, and lifecycle management
* Experience leading technical teams and delivering enterprise analytics solutions
Preferred Qualifications:
* Experience with optimization algorithms, operations research, or resource planning
* Experience within the Energy and Utilities industry or another regulated environment
* Familiarity with enterprise operational data platforms and utility data ecosystems
* Strong communication skills with the ability to bridge business needs and technical solutions
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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